Model eXplorer#

At MemryX, we do not maintain a curated model zoo which limits customers choice. Instead, we recommend customers choose/train their own model(s) and use MemryX automated tools to generate executable DFP files (.dfp = “dataflow program”).

Our automated tools do not modify original source models (e.g. no pruning, no distillation, etc.) and do not require any retraining (or any dataset) to maintain high accuracy. Instead, our tools compile models as they were trained, resulting in dataflow programs that execute with high accuracy and high utilization of available hardware.

The list of models below was created using a model explorer that automatically aggregates, compiles, and tests models from various public online sources on MemryX hardware. Anyone can use these publicly available models, access links for detailed model source information, and either recreate or simply download the compiled DFP. Unless explicitly stated, none of these models were developed by or are owned by MemryX. This model list will evolve over time depending on customer feedback.

Of course, a customer can certainly choose to modify any given model(s) prior to using MemryX tools. For example, if a customer is willing to tradeoff accuracy for performance, one can choose to prune, quantize, and/or distill model(s) and then create an executable for measuring performance & accuracy.

Benchmark Details
  • SDK Version: 2.2

  • Compilation: Closed-loop method is used to create DFPs. See Closed Loop Compilation tutorial.

  • Host: Intel i7-9700T (1.5 GHz), 16 GB RAM

  • Metrics: FPS and latency reported for Default (14 TFLOPS) and Full (20 TFLOPS) modes. Benchmarks up to 40 TFLOPS will be added in future releases.

  • Latency 1: Frame-to-frame latency (used to compute FPS)

  • Latency 2: Full system latency (including host) from initial input to final output

Understanding Model Icons
Tutorial code

Models featured in step-by-step coding tutorials. See Tutorials.

Example app (video)

Used in a complete example application that processes video streams. Browse MemryX eXamples.

Example app (image)

Used in a complete example application for still-image workflows. Browse MemryX eXamples.

Example app (audio)

Used in a complete example application for audio/voice pipelines. Browse MemryX eXamples.

Needs Neural Compiler extension

Requires additional extensions to run properly. See Neural Compiler and Neural Compiler Extensions tutorial.

MXA optimized

Optimized/retrained by the MemryX team for better MXA performance while preserving accuracy.

Models (Below is a partial list of tested models)

Below is a partial list of AI models that MemryX has downloaded, compiled, and benchmarked from public sources. This is not a model zoo; the models remain unmodified (unless explicitly mentioned), and MemryX customers are not restricted to using these models. Customers are welcome to compile additional models as needed. For guidance, see the Neural Compiler and Tutorials pages.

Object Detection
Object Detection
Segmentation
Segmentation
Pose Estimation
Pose Estimation
Face/Head
Face/Head
Classification (ImageNet)
Classification (ImageNet)
Image Enhancement/Super Resolution
Image Enhancement/Super Resolution
Classification (Other)
Classification (Other)
ADAS/Driver Monitoring
ADAS/Driver Monitoring
Depth Estimation
Depth Estimation
Hand/Palm
Hand/Palm
Point Cloud
Point Cloud
Style Transfer/GANs
Style Transfer/GANs
Audio/Speech
Audio/Speech
Emotion Detection
Emotion Detection
Wireframe/keypoint Detection
Wireframe/keypoint Detection
Gesture Recognition
Gesture Recognition
Tracking
Tracking
Re-identification
Re-identification
Object Detection

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

1

CenterNet(DLA)

512×512×3

17.1 M

ONNX

104

147

9.6 ms

6.8 ms

21.3 ms

15.6 ms

OpenVINO

DFP

2

CenterNet-MobileNet-v2-kpts

320×320×3

2.3 M

ONNX

809

809

1.2 ms

1.2 ms

3.8 ms

3.8 ms

TF Object Detection Zoo

DFP

3

CenterNet-MobileNet-v2

320×320×3

2.3 M

TensorFlow

839

935

1.2 ms

1.1 ms

3.8 ms

3.1 ms

TF Object Detection Zoo

DFP

4

CenterNet-ResNet-fpn

512×512×3

24.2 M

TensorFlow

55

78

18.2 ms

12.8 ms

22.3 ms

16.3 ms

TF Object Detection Zoo

DFP

5

DAMO-YOLO-tiny

640×640×3

8.1 M

ONNX

343

407

2.9 ms

2.5 ms

10.4 ms

8.0 ms

FPS +5%

DaMoYolo

DFP

6

DAMO-YOLO-small

640×640×3

15.5 M

ONNX

147

207

6.8 ms

4.8 ms

18.2 ms

13.2 ms

DaMoYolo

DFP

7

DAMO-YOLO-medium

640×640×3

26.9 M

ONNX

39

56

25.6 ms

17.9 ms

48.4 ms

34.2 ms

FPS +12%

DaMoYolo

DFP

8

DAMO-YOLO-Nl

416×416×3

5.4 M

ONNX

311

441

3.2 ms

2.3 ms

9.8 ms

7.1 ms

DaMoYolo

DFP

9

DAMO-YOLO-Ns

416×416×3

1.3 M

ONNX

614

869

1.6 ms

1.2 ms

4.5 ms

3.5 ms

DaMoYolo

DFP

10

DbNet-ResNet-18

736×1344×3

11.6 M

ONNX

17

24

58.8 ms

41.7 ms

74.3 ms

53.5 ms

OpenMMLab

DFP

11

DroNet

608×608×3

67.4 K

TFLite

365

479

2.7 ms

2.1 ms

3.4 ms

2.7 ms

FPS +7%

GitHub/PINTO

DFP

12

EfficientDet-Lite1

384×384×3

4.2 M

TFLite

217

222

4.6 ms

4.5 ms

14.5 ms

11.8 ms

Coral

DFP

13

License-plate-Detection-LPD-YuNet

240×320×3

1008.7 K

ONNX

725

913

1.4 ms

1.1 ms

2.3 ms

2.0 ms

OpenCV

DFP

14

MediaPipe-object-Detection-3d-camera

224×224×3

2.4 M

TFLite

1968

2391

0.5 ms

0.4 ms

1.8 ms

1.5 ms

MediaPipe

DFP

15

MediaPipe-object-Detection-3d-chair-1stag…

640×480×3

1.4 M

TFLite

414

451

2.4 ms

2.2 ms

5.1 ms

4.1 ms

MediaPipe

DFP

16

MediaPipe-object-Detection-3d-chair

224×224×3

2.4 M

TFLite

1963

2379

0.5 ms

0.4 ms

1.9 ms

1.5 ms

MediaPipe

DFP

17

MediaPipe-object-Detection-3d-cup

224×224×3

2.4 M

TFLite

1969

2384

0.5 ms

0.4 ms

1.9 ms

1.5 ms

MediaPipe

DFP

18

MediaPipe-object-Detection-3d-sneakers-1s…

640×480×3

1.4 M

TFLite

413

451

2.4 ms

2.2 ms

5.1 ms

4.1 ms

MediaPipe

DFP

19

MediaPipe-object-Detection-3d-sneakers

224×224×3

2.4 M

TFLite

1976

2371

0.5 ms

0.4 ms

1.9 ms

1.5 ms

MediaPipe

DFP

20

MobileNet-YOLO-v4-syg

416×416×3

10.0 M

TensorFlow

762

940

1.3 ms

1.1 ms

8.2 ms

6.1 ms

OpenVINO

DFP

21

Mobile-object-labeler

224×224×3

3.5 M

TFLite

1983

2391

0.5 ms

0.4 ms

1.4 ms

1.1 ms

Kaggle

DFP

22

Mobile-object-localizer

192×192×3

1.7 M

TFLite

3588

4444

0.3 ms

0.2 ms

1.3 ms

1.1 ms

FPS +6%

Kaggle

DFP

23

NanoDet

416×416×3

919.8 K

ONNX

787

1023

1.3 ms

1.0 ms

3.4 ms

2.8 ms

FPS +8%

OpenCV

DFP

24

NanoDet+ (ShuffleNet)-v2-1.5x

416×416×3

2.3 M

ONNX

649

919

1.5 ms

1.1 ms

5.9 ms

4.4 ms

FPS +6%

OpenVINO

DFP

25

NanoDet-ShuffleNet-v2-1.5x

416×416×3

2.0 M

ONNX

658

867

1.5 ms

1.2 ms

4.4 ms

3.4 ms

OpenVINO

DFP

26

Person-Detection

512×512×3

1.7 M

TFLite

478

623

2.1 ms

1.6 ms

3.6 ms

2.8 ms

FPS +7%

GitHub/PINTO

DFP

27

Person-vehicle-bike-Detection-crossroad-0…

1024×1024×3

1.1 M

TFLite

117

164

8.5 ms

6.1 ms

12.7 ms

9.5 ms

FPS +6%

GitHub/PINTO

DFP

28

Person-vehicle-bike-Detection-crossroad-1…

512×512×3

2.8 M

TFLite

478

616

2.1 ms

1.6 ms

4.0 ms

3.2 ms

FPS +6%

GitHub/PINTO

DFP

29

RtmDet-nano-person

320×320×3

962.8 K

ONNX

1208

1524

0.8 ms

0.7 ms

3.2 ms

2.4 ms

FPS +6%

OpenMMLab

DFP

30

RtmDet-tiny

640×640×3

5.3 M

ONNX

126

179

7.9 ms

5.6 ms

16.5 ms

12.2 ms

OpenMMLab

DFP

31

SpaghettiNet-EdgeTPU

320×320×3

3.3 M

TFLite

1209

1502

0.8 ms

0.7 ms

3.2 ms

2.6 ms

FPS +6%

GitHub/PINTO

DFP

32

SSD

1200×1200×3

19.0 M

ONNX

21

30

47.6 ms

33.3 ms

63.3 ms

45.2 ms

Zetane Viewer

DFP

33

SSD300

300×300×3

32.7 M

ONNX

52

74

19.2 ms

13.5 ms

28.4 ms

20.2 ms

OpenMMLab

DFP

34

SSD512

512×512×3

34.4 M

ONNX

20

29

50.0 ms

34.5 ms

64.3 ms

45.7 ms

OpenMMLab

DFP

35

SSD-FPNMobileNet

640×640×3

29.5 M

TFLite

41

59

24.4 ms

16.9 ms

37.2 ms

27.1 ms

Coral

DFP

36

SSDLiteMobileDet

320×320×3

3.9 M

TFLite

1203

1503

0.8 ms

0.7 ms

3.1 ms

2.4 ms

FPS +6%

Coral

DFP

37

SSDlite-MobileNet-v2

300×300×3

4.3 M

TensorFlow

1208

1512

0.8 ms

0.7 ms

2.4 ms

1.9 ms

FPS +6%

GitHub/PINTO

DFP

38

SSDlite-MobileNet-v2

320×320×3

4.0 M

ONNX

1211

1495

0.8 ms

0.7 ms

2.4 ms

1.9 ms

FPS +5%

OpenMMLab

DFP

39

SSD-MobileNet-v2 (Face)

320×320×3

5.1 M

TFLite

1211

1531

0.8 ms

0.7 ms

2.3 ms

1.9 ms

FPS +6%

Coral

DFP

40

SSD-MobileNet-v2 (MNAS-FPN)

320×320×3

2.4 M

TFLite

307

314

3.3 ms

3.2 ms

6.9 ms

6.1 ms

GitHub/PINTO

DFP

41

SSD-MobileNet

300×300×3

6.5 M

TFLite

1212

1511

0.8 ms

0.7 ms

2.0 ms

1.7 ms

Coral

DFP

42

SSD-MobileNet-v2

300×300×3

5.8 M

TFLite

1211

1509

0.8 ms

0.7 ms

2.4 ms

1.9 ms

Coral

DFP

43

SSSD-ResNet34

1200×1200×3

19.0 M

ONNX

21

30

47.6 ms

33.3 ms

63.3 ms

45.1 ms

OpenVINO

DFP

44

Text-Detection-db

480×640×3

11.6 M

TensorFlow

59

83

16.9 ms

12.0 ms

22.6 ms

16.9 ms

GitHub/PINTO

DFP

45

Vehicle-license-plate-detection

256×256×3

561.2 K

TensorFlow

1705

2101

0.6 ms

0.5 ms

2.3 ms

1.9 ms

OpenVINO

DFP

46

Vehicle-license-plate-detection

300×300×3

619.4 K

TFLite

1213

1514

0.8 ms

0.7 ms

1.5 ms

1.3 ms

GitHub/PINTO

DFP

47

YOLO-v2-tiny

416×416×3

15.1 M

TFLite

593

840

1.7 ms

1.2 ms

3.3 ms

2.5 ms

OpenVINO

DFP

48

YOLO-v3-lite

256×256×3

6.4 M

ONNX

1695

2101

0.6 ms

0.5 ms

2.7 ms

2.1 ms

GitHub/PINTO

DFP

49

YOLO-v3-MobileNet-v2

320×320×3

3.2 M

ONNX

713

1009

1.4 ms

1.0 ms

4.4 ms

3.5 ms

OpenMMLab

DFP

50

YOLO-v3-MobileNet-v2

416×416×3

3.2 M

ONNX

546

613

1.8 ms

1.6 ms

5.6 ms

4.7 ms

OpenMMLab

DFP

51

YOLO-v4-tiny

416×416×3

5.8 M

TFLite

609

677

1.6 ms

1.5 ms

3.3 ms

2.8 ms

AI Benchmark

DFP

52

YOLO-v5-nano-VOC

512×512×3

1.7 M

ONNX

477

619

2.1 ms

1.6 ms

3.7 ms

3.1 ms

FPS +8%

OpenMMLab

DFP

53

YOLO-v5-small-VOC

512×512×3

6.7 M

ONNX

475

615

2.1 ms

1.6 ms

5.2 ms

4.0 ms

FPS +7%

OpenMMLab

DFP

54

YOLO-v5-medium-VOC

512×512×3

20.0 M

ONNX

190

255

5.3 ms

3.9 ms

16.3 ms

11.7 ms

OpenMMLab

DFP

55

YOLO-v5-nano

640×640×3

2.5 M

ONNX

328

418

3.0 ms

2.4 ms

6.3 ms

5.3 ms

FPS +7%

Ultralytics

DFP

56

YOLO-v5-small

640×640×3

8.7 M

ONNX

263

376

3.8 ms

2.7 ms

9.5 ms

7.1 ms

FPS +40%

Ultralytics

DFP

57

YOLO-v5-medium

640×640×3

20.2 M

ONNX

108

153

9.3 ms

6.5 ms

19.5 ms

14.1 ms

OpenMMLab

DFP

58

YOLO-v5-nano

1280×1280×3

4.1 M

ONNX

83

104

12.0 ms

9.6 ms

23.4 ms

19.9 ms

FPS +7%

Ultralytics

DFP

59

YOLO-v5-small

1280×1280×3

12.0 M

ONNX

45

64

22.2 ms

15.6 ms

37.9 ms

31.4 ms

OpenMMLab

DFP

60

YOLO-v6-nano (Person, Vehicle, and Animal…

320×320×3

4.0 M

ONNX

1209

1521

0.8 ms

0.7 ms

2.8 ms

2.2 ms

New Model

Scrypted

DFP

61

YOLO-v6-nano (Person, Vehicle, and Animal…

640×640×3

4.0 M

ONNX

328

425

3.0 ms

2.4 ms

6.6 ms

5.0 ms

New Model

Scrypted

DFP

62

YOLO-v6-small (Person, Vehicle, and Anima…

320×320×3

15.5 M

ONNX

445

617

2.2 ms

1.6 ms

6.4 ms

4.7 ms

New Model

Scrypted

DFP

63

YOLO-v6-small (Person, Vehicle, and Anima…

640×640×3

15.5 M

ONNX

141

201

7.1 ms

5.0 ms

16.0 ms

11.5 ms

New Model

Scrypted

DFP

64

YOLO-v6-tiny

640×640×3

9.2 M

ONNX

229

324

4.4 ms

3.1 ms

10.3 ms

7.7 ms

OpenMMLab

DFP

65

YOLO-v6-nano

640×640×3

4.1 M

ONNX

328

424

3.0 ms

2.4 ms

6.6 ms

4.9 ms

FPS +8%

OpenMMLab

DFP

66

YOLO-v6-small

640×640×3

16.4 M

ONNX

146

207

6.8 ms

4.8 ms

15.2 ms

11.0 ms

OpenMMLab

DFP

67

YOLO-v6-medium

640×640×3

32.7 M

ONNX

56

80

17.9 ms

12.5 ms

45.7 ms

32.5 ms

OpenMMLab

DFP

68

YOLO-v7-13M (MXA-Optimized)

640×640×3

12.4 M

ONNX

132

187

7.6 ms

5.3 ms

24.7 ms

17.9 ms

FPS +55%

GitHub/Official YOLOv7

DFP

69

YOLO-v7-22M (MXA-Optimized)

640×640×3

20.4 M

ONNX

65

92

15.4 ms

10.9 ms

36.9 ms

26.4 ms

FPS +10%

GitHub/Official YOLOv7

DFP

70

YOLO-v7-27M (MXA-Optimized)

640×640×3

25.5 M

ONNX

49

67

20.4 ms

14.9 ms

48.2 ms

34.3 ms

GitHub/Official YOLOv7

DFP

71

YOLO-v7-tiny

416×416×3

5.9 M

ONNX

639

686

1.6 ms

1.5 ms

4.4 ms

3.8 ms

GitHub/Official YOLOv7

DFP

72

YOLO-v7-tiny

320×320×3

5.9 M

ONNX

1201

1254

0.8 ms

0.8 ms

3.1 ms

2.6 ms

GitHub/Official YOLOv7

DFP

73

YOLO-v7-tiny

480×640×3

5.9 M

ONNX

392

401

2.6 ms

2.5 ms

6.7 ms

5.8 ms

GitHub/PINTO

DFP

74

YOLO-v7-tiny

640×640×3

5.9 M

ONNX

271

271

3.7 ms

3.7 ms

8.2 ms

8.2 ms

OpenMMLab

DFP

75

YOLO-v8-nano

640×640×3

3.0 M

ONNX

328

417

3.0 ms

2.4 ms

6.9 ms

5.7 ms

FPS +7%

Ultralytics

DFP

76

YOLO-v8-nano-Oriented-Bounding-Boxes

1024×1024×3

2.9 M

ONNX

128

164

7.8 ms

6.1 ms

13.4 ms

11.2 ms

FPS +8%

Ultralytics

DFP

77

YOLO-v8-small

640×640×3

10.6 M

TFLite

187

264

5.3 ms

3.8 ms

13.0 ms

9.5 ms

Ultralytics

DFP

78

YOLO-v8-small

640×640×3

10.6 M

ONNX

221

313

4.5 ms

3.2 ms

10.8 ms

8.1 ms

FPS +19%

Ultralytics

DFP

79

YOLO-v8-small-Oriented-Bounding-Boxes

1024×1024×3

10.9 M

ONNX

78

108

12.8 ms

9.3 ms

19.4 ms

15.0 ms

Ultralytics

DFP

80

YOLO-v8-medium

640×640×3

24.7 M

ONNX

53

75

18.9 ms

13.3 ms

42.0 ms

29.9 ms

FPS +17%

Ultralytics

DFP

81

YOLO-v8-nano

640×640×3

3.0 M

TFLite

327

420

3.1 ms

2.4 ms

7.4 ms

6.0 ms

Ultralytics

DFP

82

YOLO-v8-medium

640×640×3

24.7 M

TFLite

30

43

33.3 ms

23.3 ms

53.7 ms

38.1 ms

Ultralytics

DFP

83

YOLO-v9-tiny (Person, Vehicle, and Animal…

320×320×3

1.8 M

ONNX

420

594

2.4 ms

1.7 ms

6.3 ms

4.6 ms

New Model

Scrypted

DFP

84

YOLO-v9-tiny (Person, Vehicle, and Animal…

640×640×3

1.8 M

ONNX

177

249

5.6 ms

4.0 ms

16.0 ms

11.6 ms

New Model

Scrypted

DFP

85

YOLO-v9-tiny-relu (Person, Vehicle, and A…

320×320×3

1.8 M

ONNX

982

1390

1.0 ms

0.7 ms

5.4 ms

4.0 ms

New Model

Scrypted

DFP

86

YOLO-v9-small (Person, Vehicle, and Anima…

320×320×3

6.7 M

ONNX

364

515

2.7 ms

1.9 ms

14.8 ms

10.6 ms

New Model

Scrypted

DFP

87

YOLO-v9-small (Person, Vehicle, and Anima…

640×640×3

6.7 M

ONNX

110

153

9.1 ms

6.5 ms

32.2 ms

23.0 ms

New Model

Scrypted

DFP

88

YOLO-v9-small-relu (Person, Vehicle, and …

320×320×3

6.7 M

ONNX

381

540

2.6 ms

1.9 ms

13.1 ms

9.4 ms

New Model

Scrypted

DFP

89

YOLO-v9-medium (Person, Vehicle, and Anim…

320×320×3

19.0 M

ONNX

200

284

5.0 ms

3.5 ms

22.0 ms

15.7 ms

New Model

Scrypted

DFP

90

YOLO-v9-medium (Person, Vehicle, and Anim…

640×640×3

19.0 M

ONNX

40

57

25.0 ms

17.5 ms

61.4 ms

43.6 ms

New Model

Scrypted

DFP

91

YOLO-v9-medium-relu (Person, Vehicle, and…

320×320×3

19.0 M

ONNX

187

265

5.3 ms

3.8 ms

22.8 ms

16.2 ms

New Model

Scrypted

DFP

92

YOLO-v9-tiny

640×640×3

2.0 M

ONNX

170

241

5.9 ms

4.1 ms

19.3 ms

13.8 ms

Ultralytics

DFP

93

YOLO-v9-small

640×640×3

6.9 M

ONNX

109

153

9.2 ms

6.5 ms

32.8 ms

23.4 ms

Ultralytics

DFP

94

YOLO-v9-medium

640×640×3

19.1 M

ONNX

40

57

25.0 ms

17.5 ms

61.5 ms

43.6 ms

Ultralytics

DFP

95

YOLO-v9-c (Person, Vehicle, and Animal)

320×320×3

24.1 M

ONNX

165

230

6.1 ms

4.3 ms

24.8 ms

17.6 ms

New Model

Scrypted

DFP

96

YOLO-v9-c-relu (Person, Vehicle, and Anim…

320×320×3

24.1 M

ONNX

151

214

6.6 ms

4.7 ms

23.4 ms

16.6 ms

New Model

Scrypted

DFP

97

YOLO-v10-nano (Person, Vehicle, and Anima…

320×320×3

2.2 M

ONNX

1208

1519

0.8 ms

0.7 ms

3.0 ms

2.4 ms

New Model

Scrypted

DFP

98

YOLO-v10-nano (Person, Vehicle, and Anima…

640×640×3

2.2 M

ONNX

233

316

4.3 ms

3.2 ms

11.0 ms

8.2 ms

New Model

Scrypted

DFP

99

YOLO-v10-small (Person, Vehicle, and Anim…

320×320×3

6.9 M

ONNX

621

869

1.6 ms

1.2 ms

5.9 ms

4.4 ms

New Model

Scrypted

DFP

100

YOLO-v10-small (Person, Vehicle, and Anim…

640×640×3

6.9 M

ONNX

87

123

11.5 ms

8.1 ms

22.5 ms

16.2 ms

New Model

Scrypted

DFP

101

YOLO-v10-medium (Person, Vehicle, and Ani…

320×320×3

14.6 M

ONNX

208

291

4.8 ms

3.4 ms

16.3 ms

11.6 ms

New Model

Scrypted

DFP

102

YOLO-v10-nano

320×320×3

2.2 M

ONNX

1203

1501

0.8 ms

0.7 ms

3.1 ms

2.5 ms

FPS +57%

Ultralytics

DFP

103

YOLO-v10-nano

480×480×3

2.2 M

ONNX

561

714

1.8 ms

1.4 ms

6.1 ms

4.6 ms

FPS +318%

Ultralytics

DFP

104

YOLO-v10-nano

640×640×3

2.2 M

ONNX

227

310

4.4 ms

3.2 ms

11.3 ms

8.4 ms

FPS +425%

Ultralytics

DFP

105

YOLO-v10-small

320×320×3

6.9 M

ONNX

621

870

1.6 ms

1.1 ms

5.9 ms

4.4 ms

FPS +98%

Ultralytics

DFP

106

YOLO-v10-small

480×480×3

6.9 M

ONNX

268

370

3.7 ms

2.7 ms

11.7 ms

8.5 ms

FPS +147%

Ultralytics

DFP

107

YOLO-v10-small

640×640×3

6.9 M

ONNX

76

108

13.2 ms

9.3 ms

22.6 ms

16.2 ms

FPS +145%

Ultralytics

DFP

108

YOLO-v10-medium

320×320×3

14.6 M

ONNX

210

294

4.8 ms

3.4 ms

15.6 ms

11.2 ms

FPS +26%

Ultralytics

DFP

109

YOLO-v10-medium

480×480×3

14.6 M

ONNX

60

85

16.7 ms

11.8 ms

29.4 ms

21.0 ms

FPS +42%

Ultralytics

DFP

110

YOLO-v10-medium

640×640×3

14.6 M

ONNX

25

36

40.0 ms

27.8 ms

62.8 ms

44.6 ms

New Model

Ultralytics

DFP

111

YOLO11-nano (MXA-Optimized)

640×640×3

3.9 M

ONNX

325

410

3.1 ms

2.4 ms

7.8 ms

6.3 ms

FPS +5%

Ultralytics

DFP

112

YOLO11-nano (MXA-Optimized)

800×800×3

3.9 M

ONNX

212

271

4.7 ms

3.7 ms

11.1 ms

8.8 ms

FPS +8%

Ultralytics

DFP

113

YOLO11-nano-Oriented-Bounding-Boxes

1024×1024×3

2.5 M

ONNX

32

44

31.2 ms

22.7 ms

46.2 ms

33.9 ms

New Model

Ultralytics

DFP

114

YOLO11-small (MXA-Optimized)

640×640×3

14.1 M

ONNX

87

123

11.5 ms

8.1 ms

22.0 ms

15.7 ms

Ultralytics

DFP

115

YOLO11-medium (MXA-Optimized)

640×640×3

25.1 M

ONNX

16

22

62.5 ms

45.5 ms

100.8 ms

71.4 ms

New Model

Ultralytics

DFP

116

YOLO11-nano

320×320×3

2.5 M

ONNX

1204

1507

0.8 ms

0.7 ms

3.1 ms

2.5 ms

FPS +39%

Ultralytics

DFP

117

YOLO11-nano

480×480×3

2.5 M

ONNX

559

700

1.8 ms

1.4 ms

6.0 ms

4.6 ms

FPS +305%

Ultralytics

DFP

118

YOLO11-nano

640×640×3

2.5 M

ONNX

212

279

4.7 ms

3.6 ms

10.9 ms

8.2 ms

FPS +381%

Ultralytics

DFP

119

YOLO11-small

320×320×3

9.0 M

ONNX

573

733

1.7 ms

1.4 ms

6.6 ms

4.9 ms

FPS +64%

Ultralytics

DFP

120

YOLO11-small

480×480×3

9.0 M

ONNX

244

323

4.1 ms

3.1 ms

11.8 ms

8.5 ms

FPS +124%

Ultralytics

DFP

121

YOLO11-small

640×640×3

9.0 M

ONNX

64

90

15.6 ms

11.1 ms

23.3 ms

16.6 ms

FPS +200%

Ultralytics

DFP

122

YOLO11-medium

320×320×3

19.2 M

ONNX

221

313

4.5 ms

3.2 ms

17.8 ms

12.7 ms

FPS +11%

Ultralytics

DFP

123

YOLO11-medium

480×480×3

19.2 M

ONNX

58

82

17.2 ms

12.2 ms

34.7 ms

24.7 ms

FPS +122%

Ultralytics

DFP

124

YOLO26-nano-Oriented-Bounding-Boxes

320×320×3

2.3 M

ONNX

936

1278

1.1 ms

0.8 ms

4.1 ms

3.1 ms

New Model

Ultralytics

DFP

125

YOLO26-nano-Oriented-Bounding-Boxes

480×480×3

2.3 M

ONNX

401

569

2.5 ms

1.8 ms

9.9 ms

7.3 ms

New Model

Ultralytics

DFP

126

YOLO26-nano-Oriented-Bounding-Boxes

640×640×3

2.3 M

ONNX

158

224

6.3 ms

4.5 ms

19.3 ms

14.1 ms

New Model

Ultralytics

DFP

127

YOLO26-small-Oriented-Bounding-Boxes

320×320×3

9.3 M

ONNX

429

605

2.3 ms

1.7 ms

9.4 ms

6.7 ms

New Model

Ultralytics

DFP

128

YOLO26-small-Oriented-Bounding-Boxes

480×480×3

9.3 M

ONNX

162

229

6.2 ms

4.4 ms

18.8 ms

13.4 ms

New Model

Ultralytics

DFP

129

YOLO26-small-Oriented-Bounding-Boxes

640×640×3

9.3 M

ONNX

48

68

20.8 ms

14.7 ms

40.6 ms

28.9 ms

New Model

Ultralytics

DFP

130

YOLO26-medium-Oriented-Bounding-Boxes

320×320×3

20.2 M

ONNX

213

304

4.7 ms

3.3 ms

20.0 ms

14.3 ms

New Model

Ultralytics

DFP

131

YOLO26-medium-Oriented-Bounding-Boxes

480×480×3

20.2 M

ONNX

50

72

20.0 ms

13.9 ms

48.1 ms

34.1 ms

New Model

Ultralytics

DFP

132

YOLO26-nano

320×320×3

2.3 M

ONNX

1207

1504

0.8 ms

0.7 ms

4.0 ms

3.0 ms

New Model

Ultralytics

DFP

133

YOLO26-nano

480×480×3

2.3 M

ONNX

406

575

2.5 ms

1.7 ms

9.4 ms

6.9 ms

New Model

Ultralytics

DFP

134

YOLO26-nano

640×640×3

2.3 M

ONNX

180

255

5.6 ms

3.9 ms

18.0 ms

13.2 ms

New Model

Ultralytics

DFP

135

YOLO26-small

320×320×3

9.1 M

ONNX

450

633

2.2 ms

1.6 ms

9.2 ms

6.6 ms

New Model

Ultralytics

DFP

136

YOLO26-small

480×480×3

9.1 M

ONNX

182

258

5.5 ms

3.9 ms

17.5 ms

12.5 ms

New Model

Ultralytics

DFP

137

YOLO26-small

640×640×3

9.1 M

ONNX

47

66

21.3 ms

15.2 ms

41.4 ms

29.4 ms

New Model

Ultralytics

DFP

138

YOLO26-medium

320×320×3

19.5 M

ONNX

200

284

5.0 ms

3.5 ms

20.4 ms

14.5 ms

New Model

Ultralytics

DFP

139

YOLO26-medium

480×480×3

19.5 M

ONNX

55

77

18.2 ms

13.0 ms

43.7 ms

31.1 ms

New Model

Ultralytics

DFP

140

YOLO-v7

256×640×3

35.2 M

ONNX

57

80

17.5 ms

12.5 ms

55.3 ms

39.3 ms

GitHub/PINTO

DFP

141

YOLO-v7

640×640×3

35.2 M

ONNX

22

31

45.5 ms

32.3 ms

101.0 ms

71.5 ms

OpenMMLab

DFP

142

YOLO-tiny

416×416×3

15.1 M

TensorFlow

654

855

1.5 ms

1.2 ms

3.1 ms

2.5 ms

FPS +23%

GitHub/RedisAI

DFP

143

YOLO-NAS-small

640×640×3

12.3 M

ONNX

119

169

8.4 ms

5.9 ms

21.4 ms

15.3 ms

FPS +13%

Ultralytics

DFP

144

YOLO-NAS-medium

640×640×3

32.3 M

ONNX

16

23

62.5 ms

43.5 ms

97.4 ms

68.9 ms

Ultralytics

DFP

145

YOLOX-tiny-ti-lite

416×416×3

4.8 M

ONNX

639

905

1.6 ms

1.1 ms

4.2 ms

3.3 ms

Texas Instruments

DFP

146

YOLOX-nano-ti-lite

416×416×3

2.1 M

ONNX

787

1040

1.3 ms

1.0 ms

3.0 ms

2.7 ms

FPS +9%

Texas Instruments

DFP

147

YOLOX-small-ti-lite

416×416×3

8.5 M

ONNX

512

725

2.0 ms

1.4 ms

5.0 ms

3.8 ms

Texas Instruments

DFP

148

YOLOX-small-ti-lite

640×640×3

8.5 M

ONNX

242

342

4.1 ms

2.9 ms

9.4 ms

7.0 ms

FPS +7%

Texas Instruments

DFP

149

YOLOX-medium

640×640×3

24.1 M

ONNX

72

101

13.9 ms

9.9 ms

36.8 ms

26.2 ms

FPS +10%

GitHub/YOLOX

DFP

150

YOLOX-medium-ti-lite

416×416×3

24.1 M

ONNX

158

224

6.3 ms

4.5 ms

19.3 ms

13.8 ms

Texas Instruments

DFP

151

YOLOX-medium-ti-lite

640×640×3

24.1 M

ONNX

71

101

14.1 ms

9.9 ms

31.8 ms

22.8 ms

Texas Instruments

DFP

152

YOLOX-nano

416×416×3

883.3 K

ONNX

864

974

1.2 ms

1.0 ms

3.0 ms

2.6 ms

FPS +16%

GitHub/YOLOX

DFP

153

YOLOX-tiny

416×416×3

4.8 M

ONNX

643

911

1.6 ms

1.1 ms

4.3 ms

3.5 ms

FPS +9%

OpenMMLab

DFP

154

YOLOX-small

640×640×3

8.5 M

ONNX

264

374

3.8 ms

2.7 ms

9.3 ms

7.1 ms

OpenCV

DFP

Segmentation

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

155

Autoseg-EdgeTPU-extra-small

512×512×3

2.2 M

TFLite

46

66

21.7 ms

15.2 ms

36.1 ms

25.8 ms

Kaggle

DFP

156

Autoseg-EdgeTPU-small

512×512×3

2.4 M

TFLite

46

66

21.7 ms

15.2 ms

39.6 ms

28.2 ms

Kaggle

DFP

157

BiseNet (ResNet-18)

512×512×3

12.7 M

ONNX

145

206

6.9 ms

4.9 ms

15.0 ms

11.0 ms

OpenMMLab

DFP

158

BiseNet (ResNet-18) - CityScapes

512×512×3

12.7 M

ONNX

153

217

6.5 ms

4.6 ms

14.2 ms

10.3 ms

FPS +6%

OpenMMLab

DFP

159

BiseNetv2 (FCN) - CityScapes

512×512×3

3.2 M

ONNX

122

173

8.2 ms

5.8 ms

15.0 ms

10.9 ms

OpenMMLab

DFP

160

DeepLab-v3 (MobileNet-v2)

513×513×3

2.0 M

TFLite

466

625

2.1 ms

1.6 ms

5.7 ms

4.3 ms

FPS +8%

Coral

DFP

161

Deeplab-v3-plus

1024×1024×3

2.1 M

TFLite

25

35

40.0 ms

28.6 ms

52.5 ms

37.8 ms

FPS +13%

AI Benchmark

DFP

162

Deeplab-v3

257×257×3

672.2 K

TFLite

1412

1998

0.7 ms

0.5 ms

2.6 ms

2.0 ms

Kaggle

DFP

163

Deeplab-EdgeTPU-extra-small

512×512×3

3.1 M

TFLite

437

619

2.3 ms

1.6 ms

5.5 ms

4.2 ms

FPS +7%

Kaggle

DFP

164

Deeplab-EdgeTPU-small

512×512×3

4.5 M

TFLite

351

497

2.8 ms

2.0 ms

6.8 ms

5.0 ms

FPS +10%

Kaggle

DFP

165

Deeplab-EdgeTPU-medium

512×512×3

6.8 M

TFLite

229

325

4.4 ms

3.1 ms

9.8 ms

7.1 ms

New Model

Kaggle

DFP

166

DeepLab-EdgeTPU-slim

513×513×3

2.0 M

TFLite

477

589

2.1 ms

1.7 ms

5.8 ms

4.6 ms

Coral

DFP

167

ERFNet

256×512×3

2.0 M

ONNX

222

260

4.5 ms

3.8 ms

16.4 ms

13.0 ms

GitHub/PINTO

DFP

168

ErfNet

208×976×3

2.0 M

ONNX

151

214

6.6 ms

4.7 ms

23.2 ms

16.6 ms

OpenVINO

DFP

169

FastSAM-small

640×640×3

11.2 M

ONNX

79

113

12.7 ms

8.8 ms

19.4 ms

14.1 ms

Ultralytics

DFP

170

Fast-scnnk-CityScapes

512×512×3

1.3 M

ONNX

477

619

2.1 ms

1.6 ms

4.3 ms

3.3 ms

FPS +7%

OpenMMLab

DFP

171

FPN (ResNet-50) - ADE20K

512×512×3

27.2 M

ONNX

17

25

58.8 ms

40.0 ms

79.3 ms

56.7 ms

OpenMMLab

DFP

172

FPN (ResNet-50) -CityScapes

512×512×3

27.2 M

ONNX

18

26

55.6 ms

38.5 ms

69.0 ms

49.1 ms

OpenMMLab

DFP

173

HRNet

256×192×3

27.2 M

ONNX

115

164

8.7 ms

6.1 ms

43.7 ms

31.0 ms

GitHub/PINTO

DFP

174

Human-segmentation

192×192×3

1.5 M

TFLite

642

910

1.6 ms

1.1 ms

3.2 ms

2.4 ms

FPS +5%

GitHub/PINTO

DFP

175

Light-SERNet

184×40×1

449.9 K

TFLite

3219

3370

0.3 ms

0.3 ms

0.6 ms

0.5 ms

GitHub/PINTO

DFP

176

MagicTouch

512×512×4

2.9 M

TFLite

305

432

3.3 ms

2.3 ms

9.3 ms

7.1 ms

FPS +25%

GitHub/PINTO

DFP

177

MediaPipe-selfie-segmentation

256×256×3

103.8 K

TFLite

692

936

1.4 ms

1.1 ms

3.9 ms

3.3 ms

MediaPipe

DFP

178

MediaPipe-selfie-segmentation-landscape

144×256×3

103.9 K

TFLite

1415

2002

0.7 ms

0.5 ms

2.5 ms

2.1 ms

MediaPipe

DFP

179

PaNet-ResNet-18-ffm

640×640×3

11.7 M

ONNX

37

53

27.0 ms

18.9 ms

43.6 ms

31.1 ms

FPS +39%

OpenMMLab

DFP

180

Proximity Segmentation

576×960×3

162.1 K

ONNX

53

74

18.9 ms

13.5 ms

27.6 ms

21.6 ms

NVIDIA-ISAAC-ROS

DFP

181

Proximity Segmentation

192×384×64

7.6 M

ONNX

48

67

20.8 ms

14.9 ms

31.0 ms

25.1 ms

NVIDIA-ISAAC-ROS

DFP

182

Road-segmentation-adas-0001

512×896×3

180.0 K

TFLite

141

184

7.1 ms

5.4 ms

9.6 ms

7.3 ms

GitHub/PINTO

DFP

183

Selfie-Segmentation

256×256×3

103.9 K

TFLite

760

1076

1.3 ms

0.9 ms

4.3 ms

3.4 ms

GitHub/PINTO

DFP

184

STDC1-CityScapes

512×512×3

7.9 M

ONNX

187

265

5.3 ms

3.8 ms

11.3 ms

8.4 ms

FPS +17%

OpenMMLab

DFP

185

STDC2-CityScapes

512×512×3

11.7 M

ONNX

176

249

5.7 ms

4.0 ms

16.2 ms

11.6 ms

FPS +12%

OpenMMLab

DFP

186

UNet

256×256×1

29.6 M

ONNX

31

44

32.3 ms

22.7 ms

34.7 ms

24.8 ms

Zetane Viewer

DFP

187

UNet

1024×1024×3

1.9 M

TFLite

27

32

37.0 ms

31.2 ms

40.5 ms

33.9 ms

AI Benchmark

DFP

188

U-NetMobileNet-v2

128×128×3

6.2 M

TFLite

202

286

5.0 ms

3.5 ms

6.6 ms

4.9 ms

Coral

DFP

189

U-NetMobileNet-v2

256×256×3

6.2 M

TFLite

50

71

20.0 ms

14.1 ms

22.9 ms

16.7 ms

Coral

DFP

190

YOLO-v8-nano-seg

640×640×3

3.2 M

ONNX

207

210

4.8 ms

4.8 ms

9.7 ms

8.8 ms

Ultralytics

DFP

191

YOLO-v8-small-seg

640×640×3

11.3 M

ONNX

80

113

12.5 ms

8.8 ms

20.6 ms

15.2 ms

Ultralytics

DFP

192

YOLO-v8-medium-seg

640×640×3

26.0 M

ONNX

27

39

37.0 ms

25.6 ms

59.3 ms

42.1 ms

Ultralytics

DFP

193

YOLO11-nano-seg

320×320×3

2.7 M

ONNX

949

969

1.1 ms

1.0 ms

4.0 ms

3.4 ms

New Model

Ultralytics

DFP

194

YOLO11-nano-seg

480×480×3

2.7 M

ONNX

433

453

2.3 ms

2.2 ms

7.7 ms

6.5 ms

New Model

Ultralytics

DFP

195

YOLO11-nano-seg

640×640×3

2.7 M

ONNX

192

207

5.2 ms

4.8 ms

13.5 ms

11.6 ms

FPS +276%

Ultralytics

DFP

196

YOLO11-small-seg

320×320×3

9.6 M

ONNX

265

375

3.8 ms

2.7 ms

10.0 ms

7.3 ms

New Model

Ultralytics

DFP

197

YOLO11-small-seg

480×480×3

9.6 M

ONNX

132

188

7.6 ms

5.3 ms

16.8 ms

12.2 ms

New Model

Ultralytics

DFP

198

YOLO11-small-seg

640×640×3

9.6 M

ONNX

53

76

18.9 ms

13.2 ms

29.9 ms

21.6 ms

FPS +162%

Ultralytics

DFP

199

YOLO11-medium-seg

320×320×3

21.4 M

ONNX

105

149

9.5 ms

6.7 ms

24.2 ms

17.3 ms

New Model

Ultralytics

DFP

200

YOLO11-medium-seg

480×480×3

21.4 M

ONNX

33

47

30.3 ms

21.3 ms

56.3 ms

40.1 ms

New Model

Ultralytics

DFP

201

YOLO11-large-seg

320×320×3

26.4 M

ONNX

66

93

15.2 ms

10.8 ms

55.0 ms

39.0 ms

New Model

Ultralytics

DFP

202

YOLO11-large-seg

480×480×3

26.4 M

ONNX

11

16

90.9 ms

62.5 ms

168.0 ms

118.8 ms

New Model

Ultralytics

DFP

203

YOLO26-nano-seg

320×320×3

2.6 M

ONNX

742

1023

1.3 ms

1.0 ms

5.7 ms

4.3 ms

New Model

Ultralytics

DFP

204

YOLO26-nano-seg

480×480×3

2.6 M

ONNX

333

458

3.0 ms

2.2 ms

10.9 ms

8.0 ms

New Model

Ultralytics

DFP

205

YOLO26-nano-seg

640×640×3

2.6 M

ONNX

122

150

8.2 ms

6.7 ms

24.7 ms

18.5 ms

New Model

Ultralytics

DFP

206

YOLO26-small-seg

320×320×3

9.9 M

ONNX

264

374

3.8 ms

2.7 ms

13.9 ms

10.0 ms

New Model

Ultralytics

DFP

207

YOLO26-small-seg

480×480×3

9.9 M

ONNX

123

164

8.1 ms

6.1 ms

28.1 ms

20.2 ms

New Model

Ultralytics

DFP

208

YOLO26-small-seg

640×640×3

9.9 M

ONNX

30

43

33.3 ms

23.3 ms

67.8 ms

48.3 ms

New Model

Ultralytics

DFP

209

YOLO26-medium-seg

320×320×3

22.5 M

ONNX

85

120

11.8 ms

8.3 ms

34.0 ms

24.2 ms

New Model

Ultralytics

DFP

210

YOLO26-medium-seg

480×480×3

22.5 M

ONNX

23

33

43.5 ms

30.3 ms

92.7 ms

65.7 ms

New Model

Ultralytics

DFP

Pose Estimation

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

211

BodyPix (MobileNet)

352×480×3

1.2 M

TFLite

808

1038

1.2 ms

1.0 ms

2.5 ms

2.2 ms

FPS +7%

Coral

DFP

212

BodyPix (MobileNet)

512×512×3

1.2 M

TFLite

478

610

2.1 ms

1.6 ms

3.6 ms

2.9 ms

FPS +6%

Coral

DFP

213

BodyPix (MobileNet)

480×640×3

1.2 M

TFLite

415

531

2.4 ms

1.9 ms

3.9 ms

3.2 ms

FPS +7%

Coral

DFP

214

BodyPix (MobileNet)

576×768×3

1.2 M

TFLite

298

381

3.4 ms

2.6 ms

5.2 ms

4.3 ms

FPS +7%

Coral

DFP

215

BodyPix (MobileNet)

768×1024×3

1.2 M

TFLite

170

220

5.9 ms

4.5 ms

8.3 ms

6.6 ms

FPS +8%

Coral

DFP

216

BodyPix (MobileNet)

720×1280×3

1.2 M

TFLite

146

191

6.8 ms

5.2 ms

9.8 ms

7.7 ms

FPS +9%

Coral

DFP

217

BodyPix (ResNet-50)

288×416×3

22.7 M

TFLite

276

321

3.6 ms

3.1 ms

11.9 ms

9.3 ms

Coral

DFP

218

BodyPix (ResNet-50)

480×640×3

22.7 M

TFLite

105

149

9.5 ms

6.7 ms

23.2 ms

16.7 ms

FPS +7%

Coral

DFP

219

BodyPix (ResNet-50)

496×768×3

22.7 M

TFLite

152

215

6.6 ms

4.7 ms

17.1 ms

12.4 ms

Coral

DFP

220

BodyPix (ResNet-50)

624×864×3

22.7 M

TFLite

106

134

9.4 ms

7.5 ms

20.8 ms

16.1 ms

Coral

DFP

221

BodyPix (ResNet-50)

672×928×3

22.7 M

TFLite

51

73

19.6 ms

13.7 ms

36.8 ms

26.4 ms

Coral

DFP

222

Handpose-estimation-mediapipe

224×224×3

988.0 K

ONNX

1982

2408

0.5 ms

0.4 ms

1.3 ms

1.1 ms

OpenCV

DFP

223

Handpose-estimation-mediapipe8

224×224×3

904.1 K

ONNX

1477

2091

0.7 ms

0.5 ms

2.8 ms

2.2 ms

OpenCV

DFP

224

HHP-Net

1×5×1, 1×5×1, 1×5×1

91.8 K

TFLite

16163

16874

0.1 ms

0.1 ms

0.2 ms

0.2 ms

FPS +39%

GitHub/PINTO

DFP

225

Human-pose-estimation-3d-0001

256×448×3

4.8 M

ONNX

460

652

2.2 ms

1.5 ms

8.7 ms

6.3 ms

OpenVINO

DFP

226

MediaPipe-pose-landk

256×256×3

3.0 M

TFLite

796

898

1.3 ms

1.1 ms

4.0 ms

3.4 ms

MediaPipe

DFP

227

MediaPipe-pose-landk-heavy

256×256×3

13.1 M

TFLite

108

152

9.3 ms

6.6 ms

14.0 ms

10.3 ms

MediaPipe

DFP

228

MediaPipe-pose-landk-lite

256×256×3

1.3 M

TFLite

789

907

1.3 ms

1.1 ms

3.7 ms

3.2 ms

MediaPipe

DFP

229

MoveNet.SinglePose.Lightning

192×192×3

2.2 M

TFLite

2597

2721

0.4 ms

0.4 ms

2.0 ms

1.7 ms

Coral

DFP

230

MoveNet.SinglePose.Thunder

256×256×3

5.9 M

TFLite

1373

1445

0.7 ms

0.7 ms

3.4 ms

3.0 ms

Coral

DFP

231

PoseC3D

48×56×56×17

2.9 M

ONNX

33

47

30.3 ms

21.3 ms

36.0 ms

25.7 ms

GitHub/PINTO

DFP

232

PoseC3D

48×64×64×17

2.0 M

ONNX

29

41

34.5 ms

24.4 ms

40.6 ms

29.1 ms

GitHub/PINTO

DFP

233

Pose-estimation-mediapipe

258×258×3

1.3 M

ONNX

777

906

1.3 ms

1.1 ms

3.7 ms

3.2 ms

FPS +17%

OpenCV

DFP

234

PoseNet (MobileNet)

353×481×3

1.2 M

TFLite

805

1030

1.2 ms

1.0 ms

2.4 ms

2.0 ms

FPS +6%

Coral

DFP

235

PoseNet (MobileNet)

481×641×3

1.2 M

TFLite

415

542

2.4 ms

1.8 ms

3.9 ms

3.1 ms

FPS +8%

Coral

DFP

236

PoseNet (MobileNet)

721×1281×3

1.2 M

TFLite

146

189

6.8 ms

5.3 ms

9.4 ms

7.4 ms

FPS +7%

Coral

DFP

237

PoseNet (ResNet-50)

288×416×3

22.6 M

TFLite

300

424

3.3 ms

2.4 ms

10.9 ms

7.9 ms

FPS +16%

Coral

DFP

238

PoseNet (ResNet-50)

480×640×3

22.6 M

TFLite

115

140

8.7 ms

7.1 ms

20.6 ms

16.2 ms

Coral

DFP

239

PoseNet (ResNet-50)

496×768×3

22.6 M

TFLite

153

216

6.5 ms

4.6 ms

16.8 ms

12.1 ms

Coral

DFP

240

PoseNet (ResNet-50)

624×864×3

22.6 M

TFLite

112

158

8.9 ms

6.3 ms

19.9 ms

14.3 ms

Coral

DFP

241

PoseNet (ResNet-50)

672×928×3

22.6 M

TFLite

51

73

19.6 ms

13.7 ms

35.7 ms

25.6 ms

Coral

DFP

242

PoseNet (ResNet-50)

736×960×3

22.6 M

TFLite

83

117

12.0 ms

8.5 ms

24.1 ms

17.4 ms

Coral

DFP

243

RtmPose-tiny

256×192×3

3.2 M

ONNX

1066

1510

0.9 ms

0.7 ms

3.5 ms

2.6 ms

New Model

OpenMMLab

DFP

244

RtmPose-small

256×192×3

5.2 M

ONNX

799

1131

1.3 ms

0.9 ms

4.6 ms

3.4 ms

New Model

OpenMMLab

DFP

245

RtmPose-medium

256×192×3

12.9 M

ONNX

939

1329

1.1 ms

0.8 ms

7.4 ms

5.4 ms

New Model

OpenMMLab

DFP

246

RtmPose-medium

384×288×3

13.1 M

ONNX

503

713

2.0 ms

1.4 ms

13.5 ms

9.7 ms

New Model

OpenMMLab

DFP

247

RtmPose-large

256×192×3

26.4 M

ONNX

481

682

2.1 ms

1.5 ms

18.1 ms

13.0 ms

New Model

OpenMMLab

DFP

248

RtmPose-large

384×288×3

26.5 M

ONNX

165

234

6.1 ms

4.3 ms

31.2 ms

22.2 ms

New Model

OpenMMLab

DFP

249

Simcc-MobileNet-v2-wo-onv

256×192×3

2.2 M

ONNX

1974

2403

0.5 ms

0.4 ms

1.5 ms

1.3 ms

OpenMMLab

DFP

250

YOLO-v8-nano-pose

640×640×3

3.1 M

ONNX

328

421

3.0 ms

2.4 ms

6.8 ms

5.7 ms

FPS +8%

Ultralytics

DFP

251

YOLO-v8-small-pose

640×640×3

11.1 M

ONNX

227

321

4.4 ms

3.1 ms

10.7 ms

8.1 ms

Ultralytics

DFP

252

YOLO-v8-medium-pose

640×640×3

25.2 M

ONNX

52

73

19.2 ms

13.7 ms

41.9 ms

29.8 ms

FPS +20%

Ultralytics

DFP

253

YOLO11-nano-pose

320×320×3

2.7 M

ONNX

1206

1491

0.8 ms

0.7 ms

3.4 ms

2.6 ms

New Model

Ultralytics

DFP

254

YOLO11-nano-pose

480×480×3

2.7 M

ONNX

559

715

1.8 ms

1.4 ms

6.6 ms

5.1 ms

New Model

Ultralytics

DFP

255

YOLO11-nano-pose

640×640×3

2.7 M

ONNX

201

271

5.0 ms

3.7 ms

11.6 ms

8.6 ms

FPS +367%

Ultralytics

DFP

256

YOLO11-nano-pose (MXA-Optimized)

640×640×3

4.2 M

ONNX

314

410

3.2 ms

2.4 ms

8.3 ms

6.4 ms

FPS +5%

Ultralytics

DFP

257

YOLO11-small-pose

320×320×3

9.4 M

ONNX

566

740

1.8 ms

1.4 ms

6.9 ms

5.1 ms

New Model

Ultralytics

DFP

258

YOLO11-small-pose

480×480×3

9.4 M

ONNX

241

341

4.1 ms

2.9 ms

11.9 ms

8.6 ms

New Model

Ultralytics

DFP

259

YOLO11-small-pose

640×640×3

9.4 M

ONNX

69

98

14.5 ms

10.2 ms

27.0 ms

19.3 ms

FPS +165%

Ultralytics

DFP

260

YOLO11-small-pose (MXA-Optimized)

640×640×3

14.7 M

ONNX

97

136

10.3 ms

7.4 ms

24.1 ms

17.2 ms

Ultralytics

DFP

261

YOLO11-medium-pose

320×320×3

19.9 M

ONNX

214

299

4.7 ms

3.3 ms

18.3 ms

13.1 ms

New Model

Ultralytics

DFP

262

YOLO11-medium-pose

480×480×3

19.9 M

ONNX

58

82

17.2 ms

12.2 ms

33.9 ms

24.1 ms

New Model

Ultralytics

DFP

263

YOLO11-medium-pose (MXA-Optimized)

640×640×3

22.7 M

ONNX

23

33

43.5 ms

30.3 ms

76.4 ms

54.3 ms

FPS +14%

Ultralytics

DFP

264

YOLO11-large-pose

320×320×3

24.9 M

ONNX

107

150

9.3 ms

6.7 ms

42.8 ms

30.4 ms

New Model

Ultralytics

DFP

265

YOLO11-large-pose

480×480×3

24.9 M

ONNX

14

20

71.4 ms

50.0 ms

113.0 ms

79.9 ms

New Model

Ultralytics

DFP

266

YOLO26-nano-pose

320×320×3

2.8 M

ONNX

894

1229

1.1 ms

0.8 ms

4.4 ms

3.3 ms

New Model

Ultralytics

DFP

267

YOLO26-nano-pose

480×480×3

2.8 M

ONNX

383

526

2.6 ms

1.9 ms

9.7 ms

7.2 ms

New Model

Ultralytics

DFP

268

YOLO26-nano-pose

640×640×3

2.8 M

ONNX

161

229

6.2 ms

4.4 ms

19.9 ms

14.3 ms

New Model

Ultralytics

DFP

269

YOLO26-small-pose

320×320×3

9.9 M

ONNX

436

618

2.3 ms

1.6 ms

9.6 ms

6.9 ms

New Model

Ultralytics

DFP

270

YOLO26-small-pose

480×480×3

9.9 M

ONNX

152

215

6.6 ms

4.7 ms

21.6 ms

15.5 ms

New Model

Ultralytics

DFP

271

YOLO26-small-pose

640×640×3

9.9 M

ONNX

41

59

24.4 ms

16.9 ms

41.9 ms

29.9 ms

New Model

Ultralytics

DFP

272

YOLO26-medium-pose

320×320×3

20.5 M

ONNX

204

251

4.9 ms

4.0 ms

23.1 ms

16.6 ms

New Model

Ultralytics

DFP

273

YOLO26-medium-pose

480×480×3

20.5 M

ONNX

49

69

20.4 ms

14.5 ms

51.1 ms

36.3 ms

New Model

Ultralytics

DFP

Face/Head

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

274

ACR-Loss

224×224×3

2.3 M

TFLite

1982

2394

0.5 ms

0.4 ms

1.5 ms

1.2 ms

GitHub/PINTO

DFP

275

BlazeFace

128×128×3

99.0 K

TensorFlow

6971

8317

0.1 ms

0.1 ms

0.5 ms

0.4 ms

FPS +5%

GitHub/PINTO

DFP

276

BlazeFace-short-range

128×128×3

99.1 K

TFLite

6975

8353

0.1 ms

0.1 ms

0.5 ms

0.5 ms

FPS +6%

GitHub/TorinMB

DFP

277

FaceBoxes

1024×1024×3

982.3 K

ONNX

128

169

7.8 ms

5.9 ms

9.2 ms

7.2 ms

FPS +8%

OpenVINO

DFP

278

Face-Detection-0100

256×256×3

1.7 M

TFLite

1710

2109

0.6 ms

0.5 ms

1.6 ms

1.3 ms

GitHub/PINTO

DFP

279

Face-Detection-adas-0001

384×672×3

1.0 M

TFLite

532

697

1.9 ms

1.4 ms

3.2 ms

2.6 ms

FPS +7%

GitHub/PINTO

DFP

280

Face-Detection-YuNet

640×640×3

51.9 K

ONNX

329

429

3.0 ms

2.3 ms

4.2 ms

3.4 ms

FPS +8%

OpenCV

DFP

281

Face-landk

160×160×3

611.3 K

ONNX

4376

5152

0.2 ms

0.2 ms

0.7 ms

0.6 ms

GitHub/PINTO

DFP

282

Face-Mask-Detection

300×300×3

2.5 M

TFLite

840

1187

1.2 ms

0.8 ms

2.6 ms

2.1 ms

GitHub/PINTO

DFP

283

FaceMesh

192×192×3

590.5 K

TFLite

3602

4493

0.3 ms

0.2 ms

0.8 ms

0.6 ms

FPS +6%

GitHub/PINTO

DFP

284

Face-recognition-sface

112×112×3

9.2 M

ONNX

2605

3686

0.4 ms

0.3 ms

1.5 ms

1.2 ms

OpenCV

DFP

285

Head-Pose-Estimation

320×320×3

798.8 K

ONNX

1207

1515

0.8 ms

0.7 ms

2.2 ms

1.8 ms

GitHub/YinguoBing

DFP

286

MediaPipe-face-Detection-full-range

192×192×3

502.1 K

TFLite

2581

3435

0.4 ms

0.3 ms

1.4 ms

1.2 ms

MediaPipe

DFP

287

MediaPipe-face-Detection-short-range

128×128×3

99.1 K

TFLite

7018

8368

0.1 ms

0.1 ms

0.5 ms

0.5 ms

FPS +6%

MediaPipe

DFP

288

MediaPipe-face-landk

192×192×3

590.5 K

TFLite

3601

4439

0.3 ms

0.2 ms

0.8 ms

0.6 ms

MediaPipe

DFP

289

MediaPipe-iris-landk

64×64×3

636.0 K

TFLite

13857

19560

0.1 ms

0.1 ms

0.5 ms

0.4 ms

FPS +84%

MediaPipe

DFP

290

RetinaFace-10gf

640×640×3

4.0 M

ONNX

176

249

5.7 ms

4.0 ms

10.8 ms

7.8 ms

New Model

immich

DFP

291

RetinaFace-ResNet-50

640×640×3

26.0 M

ONNX

44

62

22.7 ms

16.1 ms

33.7 ms

24.2 ms

OpenVINO

DFP

292

SFace

112×112×3

9.2 M

TFLite

2604

3685

0.4 ms

0.3 ms

1.7 ms

1.3 ms

GitHub/PINTO

DFP

293

SynergyNet

120×120×3

2.2 M

ONNX

4942

6988

0.2 ms

0.1 ms

0.9 ms

0.8 ms

GitHub/PINTO

DFP

294

UltraFace-RFB320

240×320×3

274.5 K

ONNX

1708

2098

0.6 ms

0.5 ms

1.2 ms

1.1 ms

ONNX Zoo

DFP

295

UltraFace-Slim

240×320×3

258.5 K

ONNX

1708

2092

0.6 ms

0.5 ms

1.2 ms

1.0 ms

OpenVINO

DFP

296

WHENet

224×224×3

4.1 M

TFLite

1022

1446

1.0 ms

0.7 ms

6.2 ms

4.7 ms

FPS +5%

GitHub/PINTO

DFP

297

YOLO-v5-Face

256×320×3

1.6 M

TensorFlow

1644

2094

0.6 ms

0.5 ms

2.7 ms

2.1 ms

FPS +5%

GitHub/PINTO

DFP

298

YOLO-v9-tiny-face

320×320×3

1.8 M

ONNX

419

594

2.4 ms

1.7 ms

6.3 ms

4.6 ms

New Model

Scrypted

DFP

299

YOLO-v9-tiny-face

640×640×3

1.8 M

ONNX

177

250

5.6 ms

4.0 ms

15.9 ms

11.6 ms

New Model

Scrypted

DFP

300

YOLO-v9-tiny-relu-face

320×320×3

1.8 M

ONNX

982

1390

1.0 ms

0.7 ms

5.4 ms

4.0 ms

New Model

Scrypted

DFP

301

YOLO-v10-nano-face

320×320×3

2.2 M

ONNX

1203

1513

0.8 ms

0.7 ms

3.0 ms

2.4 ms

New Model

Scrypted

DFP

302

YOLO-v10-nano-face

640×640×3

2.2 M

ONNX

233

316

4.3 ms

3.2 ms

10.9 ms

8.1 ms

New Model

Scrypted

DFP

303

YOLO-v10-medium-face

320×320×3

14.6 M

ONNX

208

291

4.8 ms

3.4 ms

16.2 ms

11.6 ms

New Model

Scrypted

DFP

304

YuNet

120×160×3

81.1 K

TensorFlow

6069

7221

0.2 ms

0.1 ms

0.5 ms

0.4 ms

FPS +5%

GitHub/PINTO

DFP

305

YuNet-v2

640×640×3

51.9 K

TFLite

329

430

3.0 ms

2.3 ms

4.1 ms

3.3 ms

FPS +8%

GitHub/PINTO

DFP

Classification (ImageNet)

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

306

CS3-DarkNet

256×256×3

8.9 M

ONNX

1706

2099

0.6 ms

0.5 ms

2.4 ms

1.9 ms

Timm

DFP

307

CS3-SE-DarkNet

256×256×3

20.9 M

ONNX

89

126

11.2 ms

7.9 ms

35.0 ms

24.9 ms

Timm

DFP

308

CSP-DarkNet-50

256×256×3

26.3 M

ONNX

441

628

2.3 ms

1.6 ms

10.4 ms

7.4 ms

OpenMMLab

DFP

309

CSP-DarkNet-53

256×256×3

26.3 M

ONNX

469

665

2.1 ms

1.5 ms

10.5 ms

7.6 ms

Timm

DFP

310

CSP-ResNet-50

256×256×3

20.6 M

ONNX

828

1172

1.2 ms

0.9 ms

4.9 ms

3.6 ms

OpenMMLab

DFP

311

CSP-ResNeXt50

224×224×3

19.6 M

ONNX

201

284

5.0 ms

3.5 ms

13.1 ms

9.4 ms

New Model

OpenMMLab

DFP

312

CSP-ResNeXt50

256×256×3

19.6 M

ONNX

169

240

5.9 ms

4.2 ms

13.9 ms

10.0 ms

New Model

Timm

DFP

313

DarkNet-53

256×256×3

39.7 M

ONNX

81

114

12.3 ms

8.8 ms

24.6 ms

17.5 ms

Timm

DFP

314

DarkNet-AA53

256×256×3

34.3 M

ONNX

224

317

4.5 ms

3.2 ms

14.0 ms

10.1 ms

Timm

DFP

315

DenseNet121

224×224×3

7.7 M

Keras

786

1114

1.3 ms

0.9 ms

10.8 ms

7.8 ms

FPS +11%

Keras.Applications

DFP

316

DenseNet169

224×224×3

13.6 M

Keras

486

688

2.1 ms

1.5 ms

19.3 ms

13.8 ms

Keras.Applications

DFP

317

DenseNet201

224×224×3

19.3 M

Keras

341

484

2.9 ms

2.1 ms

32.7 ms

23.2 ms

Keras.Applications

DFP

318

DenseNet121

224×224×3

7.8 M

ONNX

735

1033

1.4 ms

1.0 ms

11.7 ms

8.4 ms

ONNX Zoo

DFP

319

DLA46x

224×224×3

1.0 M

ONNX

604

856

1.7 ms

1.2 ms

2.7 ms

2.1 ms

New Model

Timm

DFP

320

DLA60x

224×224×3

16.5 M

ONNX

245

348

4.1 ms

2.9 ms

12.4 ms

8.9 ms

New Model

Timm

DFP

321

DLA34

224×224×3

15.0 M

ONNX

603

854

1.7 ms

1.2 ms

4.5 ms

3.3 ms

OpenVINO

DFP

322

DLA102

224×224×3

31.7 M

ONNX

197

279

5.1 ms

3.6 ms

18.0 ms

12.8 ms

New Model

Timm

DFP

323

DPN68

224×224×3

12.0 M

ONNX

229

324

4.4 ms

3.1 ms

14.3 ms

10.3 ms

New Model

Timm

DFP

324

EfficientNet-v2-B0

224×224×3

6.9 M

Keras

1107

1568

0.9 ms

0.6 ms

6.0 ms

4.4 ms

Keras.Applications

DFP

325

EfficientNet-v2-B1

240×240×3

7.8 M

Keras

1024

1450

1.0 ms

0.7 ms

8.6 ms

6.2 ms

Keras.Applications

DFP

326

EfficientNet-v2-B2

260×260×3

9.7 M

Keras

764

1083

1.3 ms

0.9 ms

13.9 ms

10.0 ms

Keras.Applications

DFP

327

EfficientNet-v2-B3

300×300×3

13.8 M

Keras

523

741

1.9 ms

1.3 ms

26.0 ms

18.5 ms

Keras.Applications

DFP

328

EfficientNet-v2-B0

224×224×3

6.8 M

ONNX

1107

1567

0.9 ms

0.6 ms

6.2 ms

4.5 ms

OpenVINO

DFP

329

EfficientNet-v2-B1

240×240×3

7.7 M

ONNX

1021

1445

1.0 ms

0.7 ms

9.9 ms

7.1 ms

OpenMMLab

DFP

330

EfficientNet-v2-B2

260×260×3

9.6 M

ONNX

762

1079

1.3 ms

0.9 ms

16.0 ms

11.4 ms

OpenMMLab

DFP

331

EfficientNet-B0

224×224×3

5.0 M

ONNX

1007

1427

1.0 ms

0.7 ms

7.0 ms

5.2 ms

OpenVINO

DFP

332

EfficientNet-B1

240×240×3

7.4 M

ONNX

520

736

1.9 ms

1.4 ms

13.8 ms

10.2 ms

OpenMMLab

DFP

333

EfficientNet-B2

260×260×3

8.7 M

ONNX

433

612

2.3 ms

1.6 ms

20.0 ms

14.4 ms

New Model

OpenMMLab

DFP

334

EfficientNet-EdgeTpu(L)

300×300×3

10.1 M

TFLite

165

234

6.1 ms

4.3 ms

14.5 ms

10.4 ms

Coral

DFP

335

EfficientNet-EdgeTpu(M)

240×240×3

6.5 M

TFLite

449

636

2.2 ms

1.6 ms

6.6 ms

4.8 ms

Coral

DFP

336

EfficientNet-EdgeTpu(S)

224×224×3

3.9 M

TFLite

487

690

2.1 ms

1.4 ms

4.2 ms

3.1 ms

Coral

DFP

337

EfficientNet-lite0

224×224×3

4.4 M

TFLite

1975

2396

0.5 ms

0.4 ms

2.0 ms

1.5 ms

Kaggle

DFP

338

EfficientNet-lite1

240×240×3

5.1 M

TFLite

1975

2383

0.5 ms

0.4 ms

2.4 ms

1.9 ms

Kaggle

DFP

339

EfficientNet-lite2

260×260×3

5.8 M

TFLite

1538

1781

0.7 ms

0.6 ms

3.3 ms

2.6 ms

Kaggle

DFP

340

EfficientNet-lite3

280×280×3

7.8 M

TFLite

1283

1817

0.8 ms

0.6 ms

4.6 ms

3.4 ms

FPS +5%

Kaggle

DFP

341

EfficientNet-lite4

224×224×3

12.4 M

ONNX

1404

1987

0.7 ms

0.5 ms

6.0 ms

4.4 ms

ONNX Zoo

DFP

342

EfficientNet-lite4

300×300×3

12.4 M

TFLite

748

1059

1.3 ms

0.9 ms

8.8 ms

6.4 ms

Kaggle

DFP

343

FastViT

256×256×3

3.8 M

ONNX

1290

1778

0.8 ms

0.6 ms

3.6 ms

2.8 ms

FPS +12%

Timm

DFP

344

FBNet-v3

224×224×3

8.2 M

ONNX

1849

2346

0.5 ms

0.4 ms

7.8 ms

5.7 ms

Timm

DFP

345

FBNetC

224×224×3

5.3 M

ONNX

1971

2395

0.5 ms

0.4 ms

2.2 ms

1.7 ms

Timm

DFP

346

GerNet-large

256×256×3

29.6 M

ONNX

490

694

2.0 ms

1.4 ms

7.9 ms

5.7 ms

Timm

DFP

347

GhostNet

224×224×3

4.9 M

ONNX

1964

2375

0.5 ms

0.4 ms

3.3 ms

2.5 ms

FPS +6%

Timm

DFP

348

GhostNet-v2

224×224×3

5.8 M

ONNX

1276

1807

0.8 ms

0.6 ms

5.5 ms

4.1 ms

FPS +24%

Timm

DFP

349

GoogleNet

224×224×3

6.7 M

ONNX

747

981

1.3 ms

1.0 ms

3.5 ms

2.6 ms

FPS +34%

ONNX Zoo

DFP

350

HardCoRe-NAS

224×224×3

4.9 M

ONNX

1973

2393

0.5 ms

0.4 ms

2.5 ms

1.9 ms

Timm

DFP

351

HBONet0.25

224×224×3

1.8 M

ONNX

1986

2398

0.5 ms

0.4 ms

1.4 ms

1.2 ms

OpenVINO

DFP

352

HBONet1.0

224×224×3

4.3 M

ONNX

1806

2381

0.6 ms

0.4 ms

2.9 ms

2.2 ms

FPS +102%

OpenVINO

DFP

353

HGNet-v2

224×224×3

37.7 M

ONNX

80

113

12.5 ms

8.8 ms

42.7 ms

30.3 ms

Timm

DFP

354

HGNet-tiny

224×224×3

14.0 M

ONNX

372

528

2.7 ms

1.9 ms

9.4 ms

6.8 ms

Timm

DFP

355

Inception-v3

299×299×3

22.7 M

Keras

317

450

3.2 ms

2.2 ms

9.8 ms

7.1 ms

Keras.Applications

DFP

356

Inception

224×224×3

6.7 M

ONNX

761

1017

1.3 ms

1.0 ms

3.2 ms

2.4 ms

FPS +34%

ONNX Zoo

DFP

357

Inception

224×224×3

6.3 M

TFLite

751

1064

1.3 ms

0.9 ms

2.8 ms

2.1 ms

Coral

DFP

358

Inception-v2

224×224×3

10.7 M

ONNX

751

1063

1.3 ms

0.9 ms

3.5 ms

2.6 ms

ONNX Zoo

DFP

359

Inception-v3

224×224×3

10.7 M

TFLite

749

1061

1.3 ms

0.9 ms

3.6 ms

2.7 ms

Coral

DFP

360

Inception-v3

299×299×3

22.7 M

TFLite

317

450

3.2 ms

2.2 ms

9.8 ms

7.1 ms

Kaggle

DFP

361

Inception-v3

299×299×3

22.7 M

TensorFlow

317

450

3.2 ms

2.2 ms

9.8 ms

7.1 ms

OpenVINO

DFP

362

Inception-v3

299×299×3

22.7 M

ONNX

317

450

3.2 ms

2.2 ms

9.9 ms

7.1 ms

OpenMMLab

DFP

363

Inception-v3

346×346×3

22.7 M

TFLite

275

390

3.6 ms

2.6 ms

11.0 ms

7.9 ms

AI Benchmark

DFP

364

Inception-ResNet-v2

299×299×3

28.9 M

TensorFlow

155

220

6.5 ms

4.5 ms

37.6 ms

26.8 ms

OpenVINO

DFP

365

LCNet-0.5

224×224×3

1.8 M

ONNX

1984

2394

0.5 ms

0.4 ms

1.1 ms

0.9 ms

Timm

DFP

366

MixNet-large

224×224×3

7.0 M

ONNX

370

525

2.7 ms

1.9 ms

24.7 ms

17.6 ms

New Model

Timm

DFP

367

MobileNet-v2

224×224×3

3.4 M

Keras

1982

2403

0.5 ms

0.4 ms

1.5 ms

1.2 ms

Keras.Applications

DFP

368

MobileNet-v4-conv-small

224×224×3

3.6 M

ONNX

1976

2404

0.5 ms

0.4 ms

1.4 ms

1.1 ms

Timm

DFP

369

MobileNet-v2-0.5

224×224×3

1.9 M

ONNX

1981

2407

0.5 ms

0.4 ms

1.1 ms

1.0 ms

Timm

DFP

370

MobileNet

128×128×3

4.0 M

TFLite

6961

8312

0.1 ms

0.1 ms

1.0 ms

0.8 ms

Kaggle

DFP

371

MobileNet

160×160×3

4.0 M

TFLite

4354

5129

0.2 ms

0.2 ms

1.2 ms

1.0 ms

Kaggle

DFP

372

MobileNet

192×192×3

4.0 M

TFLite

3589

4451

0.3 ms

0.2 ms

1.3 ms

1.0 ms

FPS +5%

Kaggle

DFP

373

MobileNet

224×224×3

4.0 M

TFLite

1980

2403

0.5 ms

0.4 ms

1.5 ms

1.2 ms

Kaggle

DFP

374

MobileNet

224×224×3

4.0 M

ONNX

1985

2385

0.5 ms

0.4 ms

1.5 ms

1.2 ms

OpenCV

DFP

375

MobileNet-v1

224×224×3

4.1 M

TensorFlow

1981

2405

0.5 ms

0.4 ms

1.4 ms

1.2 ms

OpenVINO

DFP

376

MobileNet-v2

224×224×3

3.4 M

ONNX

1978

2412

0.5 ms

0.4 ms

1.5 ms

1.2 ms

ONNX Zoo

DFP

377

MobileNet-v2

224×224×3

3.3 M

TFLite

1981

2412

0.5 ms

0.4 ms

1.6 ms

1.3 ms

Coral

DFP

378

MobileNet-v3

224×224×3

3.9 M

TFLite

1974

2387

0.5 ms

0.4 ms

1.8 ms

1.4 ms

Coral

DFP

379

MobileNet-v3

512×512×3

5.2 M

TFLite

475

620

2.1 ms

1.6 ms

8.9 ms

6.6 ms

FPS +7%

AI Benchmark

DFP

380

MobileNet-v4

224×224×3

4.0 M

ONNX

1977

2411

0.5 ms

0.4 ms

1.5 ms

1.2 ms

Timm

DFP

381

MobileNet

224×224×3

4.1 M

Keras

1976

2409

0.5 ms

0.4 ms

1.5 ms

1.2 ms

Keras.Applications

DFP

382

MobileNet-EdgeTPU-v2-extra-small

224×224×3

4.2 M

TFLite

1971

2397

0.5 ms

0.4 ms

1.9 ms

1.5 ms

Kaggle

DFP

383

MobileNet-EdgeTPU-v2-m4

224×224×3

8.0 M

ONNX

564

799

1.8 ms

1.3 ms

4.2 ms

3.1 ms

Timm

DFP

384

MobileOne

224×224×3

7.4 M

ONNX

1972

2397

0.5 ms

0.4 ms

2.3 ms

1.8 ms

GitHub/PINTO

DFP

385

MobileOne-s0

224×224×3

5.0 M

ONNX

1262

1729

0.8 ms

0.6 ms

3.3 ms

2.5 ms

New Model

OpenMMLab

DFP

386

MobileOne-s1

224×224×3

4.6 M

ONNX

1575

1975

0.6 ms

0.5 ms

2.4 ms

2.0 ms

New Model

OpenMMLab

DFP

387

MobileOne-s2

224×224×3

7.5 M

ONNX

1465

1856

0.7 ms

0.5 ms

3.1 ms

2.4 ms

New Model

OpenMMLab

DFP

388

MobileOne-s3

224×224×3

9.7 M

ONNX

1301

1714

0.8 ms

0.6 ms

3.9 ms

2.9 ms

New Model

OpenMMLab

DFP

389

MobileOne-s4

224×224×3

14.3 M

ONNX

808

1144

1.2 ms

0.9 ms

11.2 ms

8.1 ms

Timm

DFP

390

NasNet(Mobile)-1.3

224×224×3

5.9 M

TFLite

1976

2406

0.5 ms

0.4 ms

2.2 ms

1.7 ms

Kaggle

DFP

391

NasNet(Mobile)

128×128×3

4.2 M

TFLite

6560

8259

0.2 ms

0.1 ms

1.4 ms

1.1 ms

FPS +23%

Kaggle

DFP

392

NasNet(Mobile)

160×160×3

4.2 M

TFLite

4322

5096

0.2 ms

0.2 ms

1.5 ms

1.2 ms

Kaggle

DFP

393

NasNet(Mobile)

192×192×3

4.2 M

TFLite

3579

4445

0.3 ms

0.2 ms

1.7 ms

1.3 ms

FPS +6%

Kaggle

DFP

394

NasNet(Mobile)

224×224×3

4.2 M

TFLite

1978

2407

0.5 ms

0.4 ms

1.9 ms

1.5 ms

Kaggle

DFP

395

NasNet(Mobile)

224×224×3

4.2 M

ONNX

1980

2410

0.5 ms

0.4 ms

1.9 ms

1.5 ms

Timm

DFP

396

NasNet(Mobile)-small

224×224×3

1.9 M

ONNX

1978

2407

0.5 ms

0.4 ms

1.9 ms

1.5 ms

Timm

DFP

397

PP-LCNet-v2

224×224×3

6.3 M

TensorFlow

1968

2384

0.5 ms

0.4 ms

2.5 ms

2.0 ms

GitHub/PINTO

DFP

398

PpResNet-50

224×224×3

24.4 M

ONNX

739

1047

1.4 ms

1.0 ms

6.0 ms

4.4 ms

OpenCV

DFP

399

RegNetX002

224×224×3

2.6 M

Keras

1978

2401

0.5 ms

0.4 ms

1.9 ms

1.5 ms

Keras.Applications

DFP

400

RegNetX004

224×224×3

5.0 M

Keras

1898

2325

0.5 ms

0.4 ms

3.3 ms

2.5 ms

Keras.Applications

DFP

401

RegNetX006

224×224×3

5.9 M

Keras

1199

1697

0.8 ms

0.6 ms

3.8 ms

2.9 ms

Keras.Applications

DFP

402

RegNetX008

224×224×3

7.0 M

Keras

1002

1418

1.0 ms

0.7 ms

4.7 ms

3.4 ms

Keras.Applications

DFP

403

RegNetX016

224×224×3

8.8 M

Keras

284

402

3.5 ms

2.5 ms

12.0 ms

8.6 ms

Keras.Applications

DFP

404

RegNetX002

224×224×3

2.6 M

ONNX

1972

2404

0.5 ms

0.4 ms

2.0 ms

1.6 ms

Timm

DFP

405

RegNetX004

224×224×3

4.9 M

ONNX

1972

2399

0.5 ms

0.4 ms

2.8 ms

2.1 ms

New Model

OpenMMLab

DFP

406

RegNetX008

224×224×3

6.9 M

ONNX

1015

1437

1.0 ms

0.7 ms

5.4 ms

4.0 ms

New Model

OpenMMLab

DFP

407

RegNetX016

224×224×3

8.7 M

ONNX

287

407

3.5 ms

2.5 ms

11.6 ms

8.4 ms

New Model

OpenMMLab

DFP

408

RegNetY002

224×224×3

3.0 M

Keras

1967

2364

0.5 ms

0.4 ms

3.8 ms

2.9 ms

Keras.Applications

DFP

409

RegNetY004

224×224×3

4.2 M

Keras

759

1075

1.3 ms

0.9 ms

11.7 ms

8.4 ms

Keras.Applications

DFP

410

RegNetY006

224×224×3

5.8 M

Keras

1106

1566

0.9 ms

0.6 ms

9.3 ms

6.7 ms

Keras.Applications

DFP

411

RegNetY008

224×224×3

6.0 M

Keras

1285

1796

0.8 ms

0.6 ms

7.9 ms

5.8 ms

Keras.Applications

DFP

412

RegNetY016

224×224×3

10.7 M

Keras

191

271

5.2 ms

3.7 ms

57.3 ms

40.6 ms

Keras.Applications

DFP

413

RegNetY002

224×224×3

3.0 M

ONNX

1953

2373

0.5 ms

0.4 ms

5.0 ms

3.7 ms

Timm

DFP

414

RepGhostNet-0.5

224×224×3

2.2 M

ONNX

1983

2401

0.5 ms

0.4 ms

1.6 ms

1.3 ms

Timm

DFP

415

RepVGG-A0

224×224×3

7.9 M

ONNX

1840

2404

0.5 ms

0.4 ms

2.0 ms

1.6 ms

OpenMMLab

DFP

416

RepVGG-A1

224×224×3

12.2 M

ONNX

1974

2399

0.5 ms

0.4 ms

2.1 ms

1.6 ms

OpenMMLab

DFP

417

RepVGG-A2

224×224×3

24.3 M

ONNX

745

1055

1.3 ms

0.9 ms

4.3 ms

3.2 ms

OpenMMLab

DFP

418

RepVGG-B0

224×224×3

13.7 M

ONNX

1127

1595

0.9 ms

0.6 ms

3.4 ms

2.5 ms

OpenMMLab

DFP

419

RepViT

224×224×3

5.2 M

ONNX

1952

2361

0.5 ms

0.4 ms

5.0 ms

3.7 ms

Timm

DFP

420

Res2NeXt50

224×224×3

23.5 M

ONNX

309

437

3.2 ms

2.3 ms

14.2 ms

10.1 ms

Timm

DFP

421

ResNet-v1-d50

224×224×3

24.4 M

ONNX

729

1033

1.4 ms

1.0 ms

6.3 ms

4.6 ms

OpenMMLab

DFP

422

ResNet32-TS

256×256×3

17.1 M

ONNX

810

1147

1.2 ms

0.9 ms

3.7 ms

2.8 ms

Timm

DFP

423

ResNet33-TS

256×256×3

18.7 M

ONNX

794

1124

1.3 ms

0.9 ms

3.8 ms

2.9 ms

Timm

DFP

424

ResNet-50 (MXA-Optimized)

224×224×3

20.5 M

ONNX

1778

2317

0.6 ms

0.4 ms

3.2 ms

2.4 ms

New Model

PyTorch/TorchVision

DFP

425

ResNet-50

224×224×3

24.4 M

Keras

810

1148

1.2 ms

0.9 ms

5.2 ms

3.8 ms

Keras.Applications

DFP

426

ResNet-50-v2

224×224×3

24.4 M

Keras

968

1371

1.0 ms

0.7 ms

5.4 ms

3.9 ms

FPS +18%

Keras.Applications

DFP

427

ResNet-18

224×224×3

11.2 M

ONNX

1862

2297

0.5 ms

0.4 ms

1.8 ms

1.4 ms

ONNX Zoo

DFP

428

ResNet-34

224×224×3

20.8 M

ONNX

926

1312

1.1 ms

0.8 ms

4.4 ms

3.3 ms

OpenMMLab

DFP

429

ResNet-50

224×224×3

24.4 M

ONNX

811

1148

1.2 ms

0.9 ms

5.0 ms

3.7 ms

ONNX Zoo

DFP

430

ResNet-50

224×224×3

24.3 M

TFLite

810

1147

1.2 ms

0.9 ms

5.1 ms

3.8 ms

Coral

DFP

431

ResNet-18-v2

224×224×3

11.2 M

ONNX

1860

2289

0.5 ms

0.4 ms

1.8 ms

1.4 ms

ONNX Zoo

DFP

432

ResNet-34-v2

224×224×3

20.8 M

ONNX

968

1370

1.0 ms

0.7 ms

4.4 ms

3.3 ms

ONNX Zoo

DFP

433

ResNet-50-v2

224×224×3

24.4 M

ONNX

769

1090

1.3 ms

0.9 ms

6.2 ms

4.5 ms

FPS +11%

ONNX Zoo

DFP

434

ResNet-B-50 (Blur)

224×224×3

24.4 M

ONNX

551

781

1.8 ms

1.3 ms

7.2 ms

5.3 ms

Timm

DFP

435

ResNet-B-26

224×224×3

15.2 M

ONNX

1209

1475

0.8 ms

0.7 ms

2.2 ms

1.9 ms

Timm

DFP

436

ResNet-Q-51

256×256×3

34.0 M

ONNX

138

196

7.2 ms

5.1 ms

16.1 ms

11.6 ms

Timm

DFP

437

ResNeXt26ts

256×256×3

9.8 M

ONNX

903

976

1.1 ms

1.0 ms

2.9 ms

2.4 ms

Timm

DFP

438

ResNeXt50

224×224×3

23.8 M

ONNX

132

187

7.6 ms

5.3 ms

16.0 ms

11.4 ms

New Model

OpenMMLab

DFP

439

ReXNet

224×224×3

4.6 M

ONNX

1957

2375

0.5 ms

0.4 ms

4.4 ms

3.4 ms

Timm

DFP

440

ReXNetr-200

224×224×3

15.7 M

ONNX

772

1092

1.3 ms

0.9 ms

11.2 ms

8.0 ms

Timm

DFP

441

SelecSLS

224×224×3

30.9 M

ONNX

584

827

1.7 ms

1.2 ms

5.5 ms

4.0 ms

New Model

Timm

DFP

442

SelecSLS60

224×224×3

29.2 M

ONNX

323

457

3.1 ms

2.2 ms

8.2 ms

5.9 ms

Timm

DFP

443

SeNasNet(Mobile)-0.75

224×224×3

2.8 M

ONNX

1973

2395

0.5 ms

0.4 ms

2.4 ms

1.9 ms

Timm

DFP

444

SeNasNet(Mobile)

224×224×3

3.7 M

ONNX

1966

2382

0.5 ms

0.4 ms

3.0 ms

2.4 ms

Timm

DFP

445

SeResNet33-TS

256×256×3

18.8 M

ONNX

299

424

3.3 ms

2.4 ms

16.3 ms

11.9 ms

FPS +8%

Timm

DFP

446

ShuffleNet

224×224×3

1.8 M

ONNX

1981

2411

0.5 ms

0.4 ms

1.6 ms

1.3 ms

OpenMMLab

DFP

447

ShuffleNet-v2

224×224×3

2.2 M

ONNX

1973

2410

0.5 ms

0.4 ms

1.6 ms

1.3 ms

ONNX Zoo

DFP

448

SPNasNet

224×224×3

4.2 M

ONNX

1969

2408

0.5 ms

0.4 ms

1.9 ms

1.5 ms

Timm

DFP

449

SqueezeNet1.1

224×224×3

1.2 M

ONNX

1977

2416

0.5 ms

0.4 ms

1.2 ms

1.0 ms

ONNX Zoo

DFP

450

SqueezeNet

224×224×3

1.2 M

ONNX

1984

2413

0.5 ms

0.4 ms

1.1 ms

0.9 ms

ONNX Zoo

DFP

451

SqueezeNet

224×224×3

1.2 M

TFLite

1036

1466

1.0 ms

0.7 ms

1.7 ms

1.4 ms

Kaggle

DFP

452

TinyNet-A

192×192×3

5.9 M

ONNX

1303

1844

0.8 ms

0.5 ms

6.8 ms

5.1 ms

Timm

DFP

453

VoVNet-v2

224×224×3

6.2 M

ONNX

1057

1122

0.9 ms

0.9 ms

4.0 ms

3.4 ms

Timm

DFP

454

Xception

299×299×3

25.7 M

ONNX

254

359

3.9 ms

2.8 ms

16.1 ms

11.5 ms

Timm

DFP

455

Xception

299×299×3

21.8 M

Keras

292

414

3.4 ms

2.4 ms

13.1 ms

9.4 ms

Keras.Applications

DFP

456

YOLO-v8-nano-CLS

224×224×3

2.6 M

TFLite

1982

2399

0.5 ms

0.4 ms

1.3 ms

1.1 ms

Ultralytics

DFP

457

YOLO-v8-small-CLS

224×224×3

6.1 M

TFLite

1978

2399

0.5 ms

0.4 ms

1.8 ms

1.4 ms

Ultralytics

DFP

458

YOLO-v8-medium-CLS

224×224×3

16.3 M

TFLite

1021

1447

1.0 ms

0.7 ms

4.3 ms

3.2 ms

Ultralytics

DFP

459

YOLO-v8-large-CLS

224×224×3

35.7 M

TFLite

234

331

4.3 ms

3.0 ms

14.6 ms

10.5 ms

Ultralytics

DFP

460

YOLO11-nano-CLS

224×224×3

2.7 M

ONNX

1986

2415

0.5 ms

0.4 ms

1.4 ms

1.1 ms

Ultralytics

DFP

461

YOLO11-small-CLS

224×224×3

6.4 M

ONNX

1970

2403

0.5 ms

0.4 ms

2.2 ms

1.7 ms

Ultralytics

DFP

462

YOLO11-medium-CLS

224×224×3

11.1 M

ONNX

1112

1575

0.9 ms

0.6 ms

3.8 ms

2.8 ms

FPS +68%

Ultralytics

DFP

463

YOLO11-large-CLS

224×224×3

13.4 M

ONNX

572

810

1.7 ms

1.2 ms

7.2 ms

5.3 ms

FPS +20%

Ultralytics

DFP

464

YOLO11-extra-large-CLS

224×224×3

28.2 M

ONNX

274

388

3.6 ms

2.6 ms

14.6 ms

10.5 ms

FPS +20%

Ultralytics

DFP

465

YOLO26-nano-CLS

320×320×3

2.7 M

ONNX

1211

1537

0.8 ms

0.7 ms

2.2 ms

1.8 ms

New Model

Ultralytics

DFP

466

YOLO26-nano-CLS

480×480×3

2.7 M

ONNX

563

726

1.8 ms

1.4 ms

4.3 ms

3.3 ms

New Model

Ultralytics

DFP

467

YOLO26-nano-CLS

640×640×3

2.7 M

ONNX

277

387

3.6 ms

2.6 ms

8.4 ms

6.4 ms

New Model

Ultralytics

DFP

468

YOLO26-small-CLS

320×320×3

6.4 M

ONNX

798

1130

1.3 ms

0.9 ms

3.8 ms

2.8 ms

New Model

Ultralytics

DFP

469

YOLO26-small-CLS

480×480×3

6.4 M

ONNX

399

564

2.5 ms

1.8 ms

7.4 ms

5.4 ms

New Model

Ultralytics

DFP

470

YOLO26-small-CLS

640×640×3

6.4 M

ONNX

132

186

7.6 ms

5.4 ms

16.1 ms

11.6 ms

New Model

Ultralytics

DFP

471

YOLO26-medium-CLS

320×320×3

11.1 M

ONNX

397

563

2.5 ms

1.8 ms

6.9 ms

5.0 ms

New Model

Ultralytics

DFP

472

YOLO26-medium-CLS

480×480×3

11.1 M

ONNX

219

310

4.6 ms

3.2 ms

12.6 ms

9.1 ms

New Model

Ultralytics

DFP

473

YOLO26-medium-CLS

640×640×3

11.1 M

ONNX

72

102

13.9 ms

9.8 ms

25.9 ms

18.6 ms

New Model

Ultralytics

DFP

Image Enhancement/Super Resolution

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

474

AOD-Net

480×640×3

1.7 K

TFLite

51

73

19.6 ms

13.7 ms

20.4 ms

14.6 ms

GitHub/PINTO

DFP

475

AOD-Net

720×1280×3

1.7 K

TFLite

17

24

58.8 ms

41.7 ms

59.9 ms

42.8 ms

GitHub/PINTO

DFP

476

Colorization-v2

256×256×1

30.7 M

ONNX

31

44

32.3 ms

22.7 ms

50.7 ms

36.2 ms

OpenVINO

DFP

477

DPED

384×512×48

414.7 K

TFLite

41

45

24.4 ms

22.2 ms

36.4 ms

34.6 ms

AI Benchmark

DFP

478

ESRGAN

128×128×3

1.2 M

TFLite

55

78

18.2 ms

12.8 ms

26.2 ms

18.7 ms

AI Benchmark

DFP

479

Fast-SRGAN

128×128×3

154.9 K

TFLite

61

87

16.4 ms

11.5 ms

17.3 ms

12.5 ms

GitHub/PINTO

DFP

480

Fast-SRGAN

512×512×3

154.9 K

TFLite

3

5

333.3 ms

200.0 ms

264.2 ms

188.5 ms

GitHub/PINTO

DFP

481

IMDN

360×640×3

873.0 K

TFLite

12

17

83.3 ms

58.8 ms

93.5 ms

68.3 ms

FPS +6%

GitHub/PINTO

DFP

482

IMDN

480×640×3

873.0 K

TFLite

9

13

111.1 ms

76.9 ms

122.0 ms

88.8 ms

FPS +8%

GitHub/PINTO

DFP

483

IMDN

1024×1024×3

149.1 K

TFLite

42

44

23.8 ms

22.7 ms

25.8 ms

24.4 ms

FPS +7%

AI Benchmark

DFP

484

MBLLEN

480×640×3

439.6 K

TFLite

10

15

100.0 ms

66.7 ms

98.8 ms

70.1 ms

GitHub/PINTO

DFP

485

MBLLEN

720×1280×3

439.6 K

TFLite

3

5

333.3 ms

200.0 ms

289.4 ms

204.8 ms

GitHub/PINTO

DFP

486

Noise2Noise

256×256×3

1.2 M

TFLite

61

86

16.4 ms

11.6 ms

20.8 ms

14.9 ms

GitHub/PINTO

DFP

487

PMN

416×416×4

7.4 M

ONNX

43

62

23.3 ms

16.1 ms

26.5 ms

19.0 ms

GitHub/PINTO

DFP

488

Real-Time-Super-Resolution

240×320×3

1.3 M

TFLite

6

9

166.7 ms

111.1 ms

168.4 ms

119.4 ms

GitHub/PINTO

DFP

489

RFDN

96×96×3

423.3 K

ONNX

12

17

83.3 ms

58.8 ms

79.5 ms

56.3 ms

GitHub/PINTO

DFP

490

RFDN

160×160×3

423.3 K

ONNX

23

33

43.5 ms

30.3 ms

76.1 ms

54.0 ms

FPS +6%

GitHub/PINTO

DFP

491

SCI

288×800×3

0.2 K

ONNX

543

557

1.8 ms

1.8 ms

2.8 ms

2.7 ms

GitHub/PINTO

DFP

492

SCL-LLE

180×320×3

77.6 K

TFLite

141

157

7.1 ms

6.4 ms

8.7 ms

7.9 ms

GitHub/PINTO

DFP

493

SCL-LLE

240×320×3

77.6 K

TFLite

106

118

9.4 ms

8.5 ms

11.4 ms

10.3 ms

GitHub/PINTO

DFP

494

SG-Low-Light-Image-Enhancement

24×54×3

10.3 K

ONNX

6728

6963

0.1 ms

0.1 ms

0.3 ms

0.3 ms

GitHub/PINTO

DFP

495

SRCNN-di-v2-k

896×896×3

19.6 K

ONNX

7

10

142.9 ms

100.0 ms

136.8 ms

97.1 ms

OpenMMLab

DFP

496

SRGAN

256×256×3

1.4 M

TFLite

7

11

142.9 ms

90.9 ms

135.2 ms

95.8 ms

AI Benchmark

DFP

497

Super-Resolution

224×224×1

58.3 K

ONNX

160

226

6.2 ms

4.4 ms

6.8 ms

4.9 ms

ONNX Zoo

DFP

498

TBEFN

180×320×3

475.0 K

TFLite

211

237

4.7 ms

4.2 ms

6.0 ms

5.4 ms

FPS +16%

GitHub/PINTO

DFP

499

TBEFN

240×320×3

475.0 K

TFLite

160

182

6.2 ms

5.5 ms

7.4 ms

6.8 ms

FPS +18%

GitHub/PINTO

DFP

500

VSR

540×960×3

18.6 K

TFLite

29

32

34.5 ms

31.2 ms

52.2 ms

48.0 ms

AI Benchmark

DFP

501

XLSR

360×640×3

21.5 K

TFLite

69

98

14.5 ms

10.2 ms

20.1 ms

15.9 ms

AI Benchmark

DFP

502

Y-Net

240×320×3

190.9 K

TFLite

130

160

7.7 ms

6.2 ms

8.6 ms

7.1 ms

GitHub/PINTO

DFP

503

Y-Net

480×640×3

190.9 K

TFLite

31

37

32.3 ms

27.0 ms

32.9 ms

28.2 ms

GitHub/PINTO

DFP

504

Zero-DCE

240×320×3

77.6 K

TFLite

121

126

8.3 ms

7.9 ms

10.1 ms

9.7 ms

GitHub/PINTO

DFP

505

Zero-DCE

360×640×3

77.6 K

TFLite

40

42

25.0 ms

23.8 ms

29.3 ms

28.0 ms

GitHub/PINTO

DFP

506

Zero-DCE-improved

360×512×3

23.0 K

ONNX

87

123

11.5 ms

8.1 ms

15.1 ms

11.6 ms

GitHub/PINTO

DFP

Classification (Other)

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

507

Aiy-vision-classifier-birds

224×224×3

3.3 M

TFLite

1785

2411

0.6 ms

0.4 ms

1.9 ms

1.5 ms

Kaggle

DFP

508

Aiy-vision-classifier-food

192×192×3

5.0 M

TFLite

3586

4477

0.3 ms

0.2 ms

1.3 ms

1.0 ms

FPS +6%

Kaggle

DFP

509

Aiy-vision-classifier-insects

224×224×3

3.4 M

TFLite

1785

2403

0.6 ms

0.4 ms

1.9 ms

1.5 ms

Kaggle

DFP

510

Aiy-vision-classifier-plants

224×224×3

4.7 M

TFLite

1785

2408

0.6 ms

0.4 ms

2.0 ms

1.5 ms

Kaggle

DFP

511

Anti-spoof-mn3

128×128×3

2.9 M

TFLite

3743

5293

0.3 ms

0.2 ms

1.7 ms

1.3 ms

GitHub/PINTO

DFP

512

CropNet-classifier-cassava-disease

224×224×3

4.0 M

TFLite

1973

2386

0.5 ms

0.4 ms

2.8 ms

2.2 ms

Kaggle

DFP

513

Gender-googleNet

224×224×3

5.7 M

ONNX

748

982

1.3 ms

1.0 ms

3.1 ms

2.4 ms

FPS +34%

ONNX Zoo

DFP

514

Malaria-Detector

125×125×3

6.7 M

Keras

6971

8519

0.1 ms

0.1 ms

0.5 ms

0.4 ms

FPS +5%

xmartlabs

DFP

515

NSFW

224×224×3

5.6 M

TFLite

1861

2289

0.5 ms

0.4 ms

1.9 ms

1.6 ms

GitHub/PINTO

DFP

516

Person-Attributes-recog-crossroad-0230

160×80×3

717.7 K

TFLite

5824

8220

0.2 ms

0.1 ms

0.6 ms

0.5 ms

GitHub/PINTO

DFP

517

Solar Panel Classification - Satellite

640×640×3

14.5 M

Keras

20

28

50.0 ms

35.7 ms

55.8 ms

39.7 ms

NatLabRockies

DFP

518

Vehicle-Attributes-recog-barrier-0039

72×72×3

611.5 K

TFLite

7149

10057

0.1 ms

0.1 ms

0.4 ms

0.3 ms

FPS +14%

GitHub/PINTO

DFP

519

Vehicle-Attributes-recog-barrier-0042

72×72×3

10.7 M

TFLite

4427

6263

0.2 ms

0.2 ms

1.1 ms

0.8 ms

GitHub/PINTO

DFP

ADAS/Driver Monitoring

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

520

Driver-action-recognition-adas-0002-encod…

224×224×3

2.7 M

TFLite

1979

2400

0.5 ms

0.4 ms

1.5 ms

1.3 ms

GitHub/PINTO

DFP

521

Gaze-estimation-adas-0002

60×60×3, 60×60×3, 3

1.8 M

TFLite

383

383

2.6 ms

2.6 ms

3.0 ms

3.0 ms

FPS +43%

GitHub/PINTO

DFP

522

Head-pose-estimation-adas-0001

60×60×3

1.8 M

TFLite

8421

11911

0.1 ms

0.1 ms

0.6 ms

0.5 ms

GitHub/PINTO

DFP

523

LaneNet

256×512×3

2.2 M

TFLite

11

16

90.9 ms

62.5 ms

90.4 ms

64.0 ms

New Model

GitHub/PINTO

DFP

524

Open-closed-eye-0001

32×32×3

11.0 K

ONNX

34597

37925

0.0 ms

0.0 ms

0.2 ms

0.2 ms

FPS +93%

OpenVINO

DFP

525

Pedestrian-and-vehicle-Detector-adas-0001

384×672×3

1.6 M

TFLite

532

589

1.9 ms

1.7 ms

3.6 ms

3.3 ms

GitHub/PINTO

DFP

526

Pedestrian-Detection-adas-0002

384×672×3

1.1 M

TFLite

532

696

1.9 ms

1.4 ms

3.4 ms

2.8 ms

FPS +7%

GitHub/PINTO

DFP

527

Vehicle-Detection-0200

256×256×3

1.7 M

TFLite

1712

2089

0.6 ms

0.5 ms

1.6 ms

1.3 ms

GitHub/PINTO

DFP

528

YOLOp320

320×320×3

7.6 M

ONNX

401

568

2.5 ms

1.8 ms

7.3 ms

5.3 ms

GitHub/YOLOP

DFP

529

YOLOp640

640×640×3

7.6 M

ONNX

134

190

7.5 ms

5.3 ms

17.5 ms

12.7 ms

GitHub/YOLOP

DFP

Depth Estimation

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

530

Graft-PSMNet

256×80×120

1.2 M

ONNX

199

208

5.0 ms

4.8 ms

7.9 ms

7.2 ms

FPS +8%

GitHub/PINTO

DFP

531

Graft-PSMNet

256×120×160

1.2 M

ONNX

105

105

9.5 ms

9.5 ms

14.4 ms

14.4 ms

FPS +9%

GitHub/PINTO

DFP

532

HR-Depth

384×1280×3

10.7 M

ONNX

53

53

18.9 ms

18.9 ms

25.5 ms

25.4 ms

GitHub/PINTO

DFP

533

MiDaS

256×256×3

15.8 M

TFLite

206

291

4.9 ms

3.4 ms

14.3 ms

10.3 ms

Kaggle

DFP

534

MV3-Depth

384×576×3

2.7 M

TFLite

168

233

6.0 ms

4.3 ms

16.6 ms

12.2 ms

New Model

AI Benchmark

DFP

535

PyDNet

192×320×3

1.9 M

TFLite

354

501

2.8 ms

2.0 ms

4.9 ms

3.7 ms

GitHub/PINTO

DFP

536

PyDNet2

384×640×3

699.9 K

TFLite

88

100

11.4 ms

10.0 ms

14.1 ms

12.3 ms

GitHub/PINTO

DFP

537

PyDNet2

384×1280×3

699.9 K

TFLite

44

63

22.7 ms

15.9 ms

27.2 ms

19.8 ms

GitHub/PINTO

DFP

Hand/Palm

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

538

Hand-Detection-and-Tracking

256×256×3

1.3 M

TensorFlow

901

1120

1.1 ms

0.9 ms

4.1 ms

3.1 ms

GitHub/PINTO

DFP

539

Hand-recrop

256×256×3

26.1 K

TFLite

1713

2109

0.6 ms

0.5 ms

0.9 ms

0.8 ms

GitHub/PINTO

DFP

540

MediaPipe-hand-landk

224×224×3

2.6 M

TFLite

1983

2409

0.5 ms

0.4 ms

1.8 ms

1.4 ms

MediaPipe

DFP

541

MediaPipe-hand-landk-lite

224×224×3

988.0 K

TFLite

1974

2410

0.5 ms

0.4 ms

1.4 ms

1.1 ms

MediaPipe

DFP

542

MediaPipe-hand-recrop

256×256×3

26.4 K

TFLite

1715

2105

0.6 ms

0.5 ms

0.9 ms

0.8 ms

MediaPipe

DFP

543

MediaPipe-palm-Detection

192×192×3

1.1 M

TFLite

920

1297

1.1 ms

0.8 ms

2.6 ms

1.9 ms

MediaPipe

DFP

544

MediaPipe-palm-Detection-lite

192×192×3

937.6 K

TFLite

1269

1748

0.8 ms

0.6 ms

2.1 ms

1.6 ms

MediaPipe

DFP

545

Palm-Detection-mediapipe

192×192×3

937.6 K

ONNX

1140

1583

0.9 ms

0.6 ms

2.2 ms

1.8 ms

OpenCV

DFP

Point Cloud

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

546

MMDet3d-CenterPoint

20×10

0.6 K

ONNX

40722

41277

0.0 ms

0.0 ms

0.2 ms

0.2 ms

FPS +8%

GitHub/Tartisan

DFP

547

MMDet3d-CenterPoint

800×800×64

4.9 M

ONNX

12

12

83.3 ms

83.3 ms

104.8 ms

104.8 ms

FPS +9%

GitHub/Tartisan

DFP

548

MMDet3d-PointPillars

20×10

0.6 K

ONNX

39600

39922

0.0 ms

0.0 ms

0.2 ms

0.2 ms

GitHub/Tartisan

DFP

549

MMDet3d-PointPillars

468×468×64

4.6 M

ONNX

2

3

500.0 ms

333.3 ms

410.3 ms

296.6 ms

GitHub/Tartisan

DFP

550

PointPillars (SECFPN) - KITTI 3D

496×432×64

4.6 M

ONNX

10

14

100.0 ms

71.4 ms

110.2 ms

82.3 ms

OpenMMLab

DFP

551

PointPillars (SECFPN-SBN) - NUS 3D

400×400×64

4.7 M

ONNX

13

18

76.9 ms

55.6 ms

94.0 ms

71.9 ms

OpenMMLab

DFP

552

Pointpillars-kitti-3d-car

496×432×64

4.6 M

ONNX

10

14

100.0 ms

71.4 ms

108.4 ms

80.4 ms

OpenMMLab

DFP

553

SFA3D

608×608×3

12.1 M

TensorFlow

102

106

9.8 ms

9.4 ms

17.3 ms

14.2 ms

FPS +12%

GitHub/PINTO

DFP

Style Transfer/GANs

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

554

Arbitrary-stylization

256×256×3

2.2 M

TFLite

1710

2096

0.6 ms

0.5 ms

1.6 ms

1.3 ms

GitHub/PINTO

DFP

555

Arbitrary-stylization-inception-v3

256×256×3

8.6 M

TFLite

566

802

1.8 ms

1.2 ms

4.7 ms

3.5 ms

Kaggle

DFP

556

Facial-cartoonizer

512×512×3

2.0 M

ONNX

61

87

16.4 ms

11.5 ms

19.2 ms

13.8 ms

GitHub/Facial Image Cartoonizaiton

DFP

557

Magenta-arbitrary-stylization-256

256×256×3

2.2 M

TFLite

1708

2102

0.6 ms

0.5 ms

1.6 ms

1.3 ms

Kaggle

DFP

558

MobileStyleGAN

512

2.0 M

ONNX

41123

41123

0.0 ms

0.0 ms

0.2 ms

0.2 ms

FPS +9%

GitHub/PINTO

DFP

Audio/Speech

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

559

Audio-classification (YamNet)

96×64×1

3.6 M

TFLite

16601

17785

0.1 ms

0.1 ms

0.8 ms

0.6 ms

FPS +48%

Kaggle

DFP

560

Audio-Denoising (UNet)

128×128×1

1.9 M

Keras

1735

2114

0.6 ms

0.5 ms

1.8 ms

1.3 ms

GitHub/vbelz

DFP

561

FRILL

96×64×1

9.6 M

TFLite

5529

7824

0.2 ms

0.1 ms

1.2 ms

0.9 ms

GitHub/PINTO

DFP

562

Speech-enhancement

128×128×1

1.9 M

ONNX

969

1372

1.0 ms

0.7 ms

2.1 ms

1.6 ms

GitHub/PINTO

DFP

563

YAMNet

96×64×1

3.6 M

TFLite

16523

17848

0.1 ms

0.1 ms

0.8 ms

0.6 ms

FPS +49%

GitHub/PINTO

DFP

Emotion Detection

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

564

Emotion-FERPlus

64×64×1

8.4 M

TFLite

965

1367

1.0 ms

0.7 ms

1.7 ms

1.3 ms

GitHub/PINTO

DFP

565

Emotion-ferplus

64×64×1

3.3 M

ONNX

991

1404

1.0 ms

0.7 ms

1.6 ms

1.2 ms

ONNX Zoo

DFP

566

Facial-expRession-recognition-MobilefaceN…

112×112×3

1.1 M

TFLite

5770

7632

0.2 ms

0.1 ms

0.9 ms

0.8 ms

GitHub/PINTO

DFP

567

Facial-expRession-recognition-MobilefaceN…

112×112×3

1.1 M

ONNX

5774

7627

0.2 ms

0.1 ms

0.9 ms

0.7 ms

OpenCV

DFP

568

Facial-expRession-recognition-MobilefaceN…

112×112×3

1.1 M

ONNX

1127

1596

0.9 ms

0.6 ms

5.1 ms

3.7 ms

FPS +15%

OpenCV

DFP

Wireframe/keypoint Detection

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

569

DeepLSD

480×640×1

8.2 M

ONNX

6

9

166.7 ms

111.1 ms

150.3 ms

107.6 ms

New Model

GitHub/PINTO

DFP

570

F-Clip

512×512×3

4.0 M

TensorFlow

67

94

14.9 ms

10.6 ms

22.8 ms

16.4 ms

New Model

GitHub/PINTO

DFP

571

M-LSD

320×320×4

599.8 K

TFLite

804

1139

1.2 ms

0.9 ms

2.7 ms

2.2 ms

GitHub/PINTO

DFP

572

M-LSD

512×512×4

1.5 M

TFLite

31

44

32.3 ms

22.7 ms

36.0 ms

26.1 ms

GitHub/PINTO

DFP

Gesture Recognition

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

573

American-sign-language

224×224×3

2.7 M

TFLite

1982

2398

0.5 ms

0.4 ms

1.5 ms

1.2 ms

Kaggle

DFP

574

FINNger

96×96×3

3.2 M

TensorFlow

375

528

2.7 ms

1.9 ms

3.4 ms

2.4 ms

GitHub/PINTO

DFP

575

Naruto-handsign-Detection

416×416×3

871.1 K

TFLite

864

994

1.2 ms

1.0 ms

3.1 ms

2.7 ms

FPS +17%

GitHub/PINTO

DFP

Tracking

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

576

LiteTrack

127×127×3

1.2 M

TFLite

2504

3543

0.4 ms

0.3 ms

2.6 ms

1.9 ms

GitHub/PINTO

DFP

577

OpenCV-DaSiamRPN (Feature Extractor)

360×480×3

4.8 M

ONNX

93

132

10.8 ms

7.6 ms

12.5 ms

9.1 ms

OpenCV

DFP

578

OpenCV-DaSiamRPN (Kernel-R1)

256×24×24

11.3 M

ONNX

110

114

9.1 ms

8.8 ms

11.3 ms

10.8 ms

OpenCV

DFP

Re-identification

#

Name

Input Resolution

Params Count

F/W

FPS (14T)

FPS (20T)

Latency 1 (14T)

Latency 1 (20T)

Latency 2 (14T)

Latency 2 (20T)

vs v2.1

Source

DFP

579

Person-ReID-YouTube

256×128×3

25.5 M

ONNX

857

1213

1.2 ms

0.8 ms

4.0 ms

3.0 ms

FPS +16%

OpenCV

DFP

Third-Party Licenses

Each of these models is shared under the original creator’s license. Please check the license at the source page.