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. None of these models were created by MemryX or belong to 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.
Measurement Information
SDK Version: 1.0.0
The host used for these measurements is: Intel i7 9700T (1.5GHz), 16 GB RAM
The FPS and latency metrics reported here reflect the performance of models running at both Default (14 TFLOPS) and Full (20 TFLOPS) performance modes. Future updates will include benchmarks for configurations up to 40 TFLOPS, providing even more detailed insights into the system’s capabilities.
Latency 1: Frame-to-frame latency (used to compute fps)
Latency 2: Full system latency (including host) from initial input to final output
Models with Tutorials and Examples
Models featured in tutorials carry the badge, indicating code-specific learning paths, while models used in complete example applications are marked with the / badges. Explore in-depth tutorials at Tutorials and discover end-to-end examples at MemryX eXamples.
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, 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.
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 |
CSP-DarkNet50 |
256×256×3 |
26.3 M |
ONNX |
468 |
662 |
2.1 ms |
1.5 ms |
9.9 ms |
7.2 ms |
||
2 |
CSP-ResNet-50 |
256×256×3 |
20.6 M |
ONNX |
869 |
1128 |
1.2 ms |
0.9 ms |
5.4 ms |
4.1 ms |
||
3 |
DLA34 |
224×224×3 |
15.0 M |
ONNX |
603 |
854 |
1.7 ms |
1.2 ms |
4.4 ms |
3.3 ms |
||
4 |
DenseNet121 |
224×224×3 |
7.7 M |
Keras |
711 |
1008 |
1.4 ms |
1.0 ms |
11.1 ms |
8.0 ms |
||
5 |
DenseNet169 |
224×224×3 |
13.6 M |
Keras |
521 |
738 |
1.9 ms |
1.4 ms |
19.0 ms |
13.6 ms |
||
6 |
DenseNet201 |
224×224×3 |
19.3 M |
Keras |
334 |
473 |
3.0 ms |
2.1 ms |
32.1 ms |
22.9 ms |
||
7 |
EfficientNet-B0 |
224×224×3 |
5.0 M |
ONNX |
761 |
1077 |
1.3 ms |
0.9 ms |
8.0 ms |
5.9 ms |
||
8 |
EfficientNet-B1 |
240×240×3 |
7.4 M |
ONNX |
456 |
646 |
2.2 ms |
1.5 ms |
17.1 ms |
12.5 ms |
||
9 |
EfficientNet-EdgeTpu(L) |
300×300×3 |
10.1 M |
TFLite |
166 |
235 |
6.0 ms |
4.3 ms |
14.5 ms |
10.4 ms |
||
10 |
EfficientNet-EdgeTpu(M) |
240×240×3 |
6.5 M |
TFLite |
450 |
637 |
2.2 ms |
1.6 ms |
6.5 ms |
4.8 ms |
||
11 |
EfficientNet-EdgeTpu(S) |
224×224×3 |
3.9 M |
TFLite |
488 |
690 |
2.0 ms |
1.4 ms |
4.4 ms |
3.3 ms |
||
12 |
EfficientNet-lite0 |
224×224×3 |
4.4 M |
TFLite |
1900 |
2255 |
0.5 ms |
0.4 ms |
2.1 ms |
1.6 ms |
||
13 |
EfficientNet-lite1 |
240×240×3 |
5.1 M |
TFLite |
1890 |
2176 |
0.5 ms |
0.5 ms |
2.5 ms |
2.0 ms |
||
14 |
EfficientNet-lite2 |
260×260×3 |
5.8 M |
TFLite |
1538 |
1780 |
0.7 ms |
0.6 ms |
3.4 ms |
2.6 ms |
||
15 |
EfficientNet-lite3 |
280×280×3 |
7.8 M |
TFLite |
1281 |
1814 |
0.8 ms |
0.6 ms |
4.7 ms |
3.5 ms |
||
16 |
EfficientNet-lite4 |
300×300×3 |
12.4 M |
TFLite |
748 |
1059 |
1.3 ms |
0.9 ms |
8.9 ms |
6.4 ms |
||
17 |
EfficientNet-lite4 |
224×224×3 |
12.4 M |
ONNX |
1391 |
1969 |
0.7 ms |
0.5 ms |
6.0 ms |
4.4 ms |
||
18 |
EfficientNet-v2-B0 |
224×224×3 |
6.8 M |
ONNX |
1101 |
1558 |
0.9 ms |
0.6 ms |
6.5 ms |
4.8 ms |
||
19 |
EfficientNet-v2-B0 |
224×224×3 |
6.9 M |
Keras |
1102 |
1560 |
0.9 ms |
0.6 ms |
6.0 ms |
4.5 ms |
||
20 |
EfficientNet-v2-B1 |
240×240×3 |
7.8 M |
Keras |
1018 |
1441 |
1.0 ms |
0.7 ms |
8.8 ms |
6.4 ms |
||
21 |
EfficientNet-v2-B2 |
260×260×3 |
9.7 M |
Keras |
763 |
1080 |
1.3 ms |
0.9 ms |
13.5 ms |
9.7 ms |
||
22 |
EfficientNet-v2-B3 |
300×300×3 |
13.8 M |
Keras |
524 |
742 |
1.9 ms |
1.3 ms |
25.4 ms |
18.1 ms |
||
23 |
GoogleNet |
224×224×3 |
6.7 M |
ONNX |
519 |
734 |
1.9 ms |
1.4 ms |
3.9 ms |
2.9 ms |
||
24 |
HBONet0.25 |
224×224×3 |
1.8 M |
ONNX |
1898 |
2247 |
0.5 ms |
0.4 ms |
1.5 ms |
1.3 ms |
||
25 |
HBONet1.0 |
224×224×3 |
4.3 M |
ONNX |
1112 |
1180 |
0.9 ms |
0.8 ms |
3.2 ms |
2.6 ms |
||
26 |
Inception |
224×224×3 |
6.7 M |
ONNX |
537 |
760 |
1.9 ms |
1.3 ms |
3.7 ms |
2.8 ms |
||
27 |
Inception |
224×224×3 |
6.3 M |
TFLite |
753 |
1066 |
1.3 ms |
0.9 ms |
3.0 ms |
2.3 ms |
||
28 |
Inception(GoogleNet)-v3 |
299×299×3 |
22.7 M |
ONNX |
318 |
450 |
3.1 ms |
2.2 ms |
10.1 ms |
7.3 ms |
||
29 |
Inception-ResNet-v2 |
299×299×3 |
28.9 M |
TensorFlow |
168 |
238 |
6.0 ms |
4.2 ms |
36.6 ms |
26.0 ms |
||
30 |
Inception-v2 |
224×224×3 |
10.7 M |
ONNX |
752 |
1064 |
1.3 ms |
0.9 ms |
3.8 ms |
2.8 ms |
||
31 |
Inception-v3 |
346×346×3 |
22.7 M |
TFLite |
275 |
389 |
3.6 ms |
2.6 ms |
11.1 ms |
8.0 ms |
||
32 |
Inception-v3 |
299×299×3 |
22.7 M |
TFLite |
318 |
450 |
3.1 ms |
2.2 ms |
10.1 ms |
7.3 ms |
||
33 |
Inception-v3 |
224×224×3 |
10.7 M |
TFLite |
750 |
1063 |
1.3 ms |
0.9 ms |
3.6 ms |
2.8 ms |
||
34 |
Inception-v3 |
299×299×3 |
22.7 M |
Keras |
318 |
450 |
3.1 ms |
2.2 ms |
10.1 ms |
7.3 ms |
||
35 |
MobileNet |
128×128×3 |
4.0 M |
TFLite |
6284 |
6975 |
0.2 ms |
0.1 ms |
1.1 ms |
0.9 ms |
||
36 |
MobileNet |
192×192×3 |
4.0 M |
TFLite |
3510 |
3914 |
0.3 ms |
0.3 ms |
1.4 ms |
1.2 ms |
||
37 |
MobileNet |
224×224×3 |
4.0 M |
ONNX |
1894 |
2245 |
0.5 ms |
0.4 ms |
1.7 ms |
1.3 ms |
||
38 |
MobileNet |
160×160×3 |
4.0 M |
TFLite |
3949 |
4435 |
0.3 ms |
0.2 ms |
1.3 ms |
1.1 ms |
||
39 |
MobileNet |
224×224×3 |
4.1 M |
Keras |
1887 |
2256 |
0.5 ms |
0.4 ms |
1.6 ms |
1.3 ms |
||
40 |
MobileNet-EdgeTPU-v2-extra-small |
224×224×3 |
4.2 M |
TFLite |
1889 |
2248 |
0.5 ms |
0.4 ms |
2.1 ms |
1.7 ms |
||
41 |
MobileNet-v2 |
224×224×3 |
3.3 M |
ONNX |
1903 |
2251 |
0.5 ms |
0.4 ms |
1.5 ms |
1.3 ms |
||
42 |
MobileNet-v2 |
224×224×3 |
3.4 M |
Keras |
1891 |
2257 |
0.5 ms |
0.4 ms |
1.6 ms |
1.4 ms |
||
43 |
MobileNet-v3 |
512×512×3 |
5.2 M |
TFLite |
454 |
556 |
2.2 ms |
1.8 ms |
9.6 ms |
7.3 ms |
||
44 |
MobileNet-v3 |
224×224×3 |
3.9 M |
TFLite |
1901 |
2255 |
0.5 ms |
0.4 ms |
2.1 ms |
1.6 ms |
||
45 |
MobileOne |
224×224×3 |
7.4 M |
ONNX |
1889 |
2247 |
0.5 ms |
0.4 ms |
2.4 ms |
1.9 ms |
||
46 |
NasNet(Mobile) |
160×160×3 |
4.2 M |
TFLite |
3922 |
4596 |
0.3 ms |
0.2 ms |
1.7 ms |
1.3 ms |
||
47 |
NasNet(Mobile) |
192×192×3 |
4.2 M |
TFLite |
3525 |
3952 |
0.3 ms |
0.3 ms |
1.7 ms |
1.4 ms |
||
48 |
NasNet(Mobile) |
128×128×3 |
4.2 M |
TFLite |
4728 |
6678 |
0.2 ms |
0.1 ms |
1.5 ms |
1.2 ms |
||
49 |
NasNet(Mobile)-1.3 |
224×224×3 |
5.9 M |
TFLite |
1885 |
2253 |
0.5 ms |
0.4 ms |
2.4 ms |
1.9 ms |
||
50 |
PP-LCNet-v2 |
224×224×3 |
6.3 M |
TensorFlow |
1877 |
2247 |
0.5 ms |
0.4 ms |
2.7 ms |
2.1 ms |
||
51 |
PpResNet-50 |
224×224×3 |
24.4 M |
ONNX |
742 |
1050 |
1.3 ms |
1.0 ms |
6.1 ms |
4.5 ms |
||
52 |
RepVGG-A0 |
224×224×3 |
7.9 M |
ONNX |
1839 |
2257 |
0.5 ms |
0.4 ms |
2.1 ms |
1.6 ms |
||
53 |
RepVGG-A1 |
224×224×3 |
12.2 M |
ONNX |
1898 |
2226 |
0.5 ms |
0.4 ms |
2.2 ms |
1.7 ms |
||
54 |
RepVGG-A2 |
224×224×3 |
24.3 M |
ONNX |
742 |
1051 |
1.3 ms |
1.0 ms |
4.9 ms |
3.6 ms |
||
55 |
RepVGG-B0 |
224×224×3 |
13.7 M |
ONNX |
1079 |
1528 |
0.9 ms |
0.7 ms |
3.2 ms |
2.4 ms |
||
56 |
ResNet-18 |
224×224×3 |
11.2 M |
ONNX |
1782 |
2167 |
0.6 ms |
0.5 ms |
1.8 ms |
1.5 ms |
||
57 |
ResNet-18-v2 |
224×224×3 |
11.2 M |
ONNX |
1760 |
2149 |
0.6 ms |
0.5 ms |
1.9 ms |
1.5 ms |
||
58 |
ResNet-34 |
224×224×3 |
20.8 M |
ONNX |
888 |
1257 |
1.1 ms |
0.8 ms |
4.6 ms |
3.4 ms |
||
59 |
ResNet-34-v2 |
224×224×3 |
20.8 M |
ONNX |
967 |
1369 |
1.0 ms |
0.7 ms |
4.5 ms |
3.4 ms |
||
60 |
ResNet-50 |
224×224×3 |
24.4 M |
ONNX |
825 |
1169 |
1.2 ms |
0.9 ms |
6.3 ms |
4.6 ms |
||
61 |
ResNet-50 |
224×224×3 |
24.4 M |
Keras |
811 |
1148 |
1.2 ms |
0.9 ms |
5.2 ms |
3.9 ms |
||
62 |
ResNet-50-v2 |
224×224×3 |
24.4 M |
Keras |
820 |
1162 |
1.2 ms |
0.9 ms |
5.7 ms |
4.2 ms |
||
63 |
ShuffleNet |
224×224×3 |
1.4 M |
ONNX |
1896 |
2256 |
0.5 ms |
0.4 ms |
2.1 ms |
1.6 ms |
||
64 |
ShuffleNet-v2 |
224×224×3 |
2.2 M |
ONNX |
1885 |
2228 |
0.5 ms |
0.4 ms |
1.8 ms |
1.4 ms |
||
65 |
SqueezeNet |
224×224×3 |
1.2 M |
TFLite |
1034 |
1464 |
1.0 ms |
0.7 ms |
2.4 ms |
2.1 ms |
||
66 |
SqueezeNet1.0 |
224×224×3 |
1.2 M |
ONNX |
1887 |
2213 |
0.5 ms |
0.5 ms |
2.0 ms |
1.7 ms |
||
67 |
SqueezeNet1.1 |
224×224×3 |
1.2 M |
ONNX |
1274 |
1287 |
0.8 ms |
0.8 ms |
2.4 ms |
2.1 ms |
||
68 |
Xception |
299×299×3 |
21.8 M |
Keras |
300 |
425 |
3.3 ms |
2.4 ms |
13.1 ms |
9.4 ms |
||
69 |
YOLO-v8-large-CLS |
224×224×3 |
35.7 M |
TFLite |
259 |
366 |
3.9 ms |
2.7 ms |
13.4 ms |
9.7 ms |
||
70 |
YOLO-v8-large-CLS |
224×224×3 |
35.7 M |
ONNX |
260 |
369 |
3.8 ms |
2.7 ms |
13.7 ms |
9.9 ms |
||
71 |
YOLO-v8-medium-CLS |
224×224×3 |
16.3 M |
TFLite |
1018 |
1441 |
1.0 ms |
0.7 ms |
4.4 ms |
3.3 ms |
||
72 |
YOLO-v8-medium-CLS |
224×224×3 |
16.3 M |
ONNX |
1019 |
1442 |
1.0 ms |
0.7 ms |
4.2 ms |
3.2 ms |
||
73 |
YOLO-v8-nano-CLS |
224×224×3 |
2.6 M |
TFLite |
1866 |
2261 |
0.5 ms |
0.4 ms |
1.4 ms |
1.1 ms |
||
74 |
YOLO-v8-nano-CLS |
224×224×3 |
2.6 M |
ONNX |
1902 |
2252 |
0.5 ms |
0.4 ms |
1.3 ms |
1.1 ms |
||
75 |
YOLO-v8-small-CLS |
224×224×3 |
6.1 M |
TFLite |
1892 |
2245 |
0.5 ms |
0.4 ms |
1.8 ms |
1.5 ms |
||
76 |
YOLO-v8-small-CLS |
224×224×3 |
6.1 M |
ONNX |
1876 |
2243 |
0.5 ms |
0.4 ms |
1.8 ms |
1.4 ms |
||
77 |
ZfNet512 |
224×224×3 |
6.2 M |
ONNX |
283 |
401 |
3.5 ms |
2.5 ms |
4.9 ms |
3.6 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
78 |
CenterNet(DLA) |
512×512×3 |
17.1 M |
ONNX |
111 |
152 |
9.0 ms |
6.6 ms |
23.0 ms |
17.6 ms |
||
79 |
CenterNet-MobileNet-v2 |
320×320×3 |
2.3 M |
TensorFlow |
599 |
657 |
1.7 ms |
1.5 ms |
5.0 ms |
4.2 ms |
||
80 |
CenterNet-MobileNet-v2-kpts |
320×320×3 |
2.3 M |
ONNX |
462 |
476 |
2.2 ms |
2.1 ms |
6.4 ms |
5.8 ms |
||
81 |
CenterNet-ResNet-fpn |
512×512×3 |
24.2 M |
TensorFlow |
66 |
90 |
15.2 ms |
11.1 ms |
28.0 ms |
21.0 ms |
||
82 |
DAMO-YOLO-Nl |
416×416×3 |
5.4 M |
ONNX |
313 |
442 |
3.2 ms |
2.3 ms |
10.1 ms |
7.4 ms |
||
83 |
DAMO-YOLO-Nm |
416×416×3 |
2.6 M |
ONNX |
345 |
488 |
2.9 ms |
2.0 ms |
7.3 ms |
5.4 ms |
||
84 |
DAMO-YOLO-Ns |
416×416×3 |
1.3 M |
ONNX |
609 |
862 |
1.6 ms |
1.2 ms |
4.9 ms |
4.0 ms |
||
85 |
DAMO-YOLO-small |
320×320×32 |
15.5 M |
ONNX |
135 |
135 |
7.4 ms |
7.4 ms |
21.7 ms |
21.7 ms |
||
86 |
DAMO-YOLO-small |
640×640×3 |
15.5 M |
ONNX |
141 |
199 |
7.1 ms |
5.0 ms |
18.7 ms |
13.7 ms |
||
87 |
DAMO-YOLO-tiny |
640×640×3 |
8.1 M |
ONNX |
356 |
356 |
2.8 ms |
2.8 ms |
10.5 ms |
10.5 ms |
||
88 |
DbNet-ResNet-18 |
736×1344×3 |
11.6 M |
ONNX |
17 |
23 |
58.8 ms |
43.5 ms |
75.7 ms |
54.8 ms |
||
89 |
DeepSort |
128×64×3 |
10.6 M |
TensorFlow |
2015 |
2852 |
0.5 ms |
0.4 ms |
1.8 ms |
1.4 ms |
||
90 |
DroNet |
608×608×3 |
67.4 K |
TFLite |
358 |
431 |
2.8 ms |
2.3 ms |
3.8 ms |
3.2 ms |
||
91 |
EfficientDet-Lite1 |
384×384×3 |
4.2 M |
TFLite |
62 |
62 |
16.1 ms |
16.1 ms |
20.9 ms |
20.9 ms |
||
92 |
License-plate-Detection-LPD-YuNet |
240×320×3 |
1008.7 K |
ONNX |
726 |
913 |
1.4 ms |
1.1 ms |
2.5 ms |
2.1 ms |
||
93 |
MediaPipe-object-Detection-3d-camera |
224×224×3 |
2.4 M |
TFLite |
1881 |
2255 |
0.5 ms |
0.4 ms |
2.0 ms |
1.6 ms |
||
94 |
MediaPipe-object-Detection-3d-sneakers |
224×224×3 |
2.4 M |
TFLite |
1877 |
2252 |
0.5 ms |
0.4 ms |
2.0 ms |
1.6 ms |
||
95 |
MediaPipe-object-Detection-3d-sneakers-1s… |
640×480×3 |
1.4 M |
TFLite |
406 |
484 |
2.5 ms |
2.1 ms |
5.6 ms |
4.5 ms |
||
96 |
Mobile-object-labeler |
224×224×3 |
3.5 M |
TFLite |
1898 |
2252 |
0.5 ms |
0.4 ms |
1.5 ms |
1.2 ms |
||
97 |
Mobile-object-localizer |
192×192×3 |
1.7 M |
TFLite |
3360 |
3480 |
0.3 ms |
0.3 ms |
1.4 ms |
1.1 ms |
||
98 |
MobileNet-YOLO-v4-syg |
416×416×3 |
10.0 M |
TensorFlow |
764 |
913 |
1.3 ms |
1.1 ms |
8.4 ms |
6.3 ms |
||
99 |
NanoDet |
416×416×3 |
919.8 K |
ONNX |
770 |
902 |
1.3 ms |
1.1 ms |
4.4 ms |
3.7 ms |
||
100 |
NanoDetPluswithShuffleNet-v2-1.5x |
416×416×3 |
2.3 M |
ONNX |
616 |
765 |
1.6 ms |
1.3 ms |
6.6 ms |
5.5 ms |
||
101 |
NanoDetwithShuffleNet-v2-1.5x |
416×416×3 |
2.0 M |
ONNX |
693 |
884 |
1.4 ms |
1.1 ms |
5.2 ms |
4.3 ms |
||
102 |
Person-Detection |
512×512×3 |
1.7 M |
TFLite |
467 |
544 |
2.1 ms |
1.8 ms |
3.9 ms |
3.3 ms |
||
103 |
Person-vehicle-bike-Detection-crossroad-0… |
1024×1024×3 |
1.1 M |
TFLite |
117 |
149 |
8.5 ms |
6.7 ms |
14.1 ms |
11.3 ms |
||
104 |
Person-vehicle-bike-Detection-crossroad-1… |
512×512×3 |
2.8 M |
TFLite |
467 |
546 |
2.1 ms |
1.8 ms |
4.6 ms |
3.8 ms |
||
105 |
SSD-FPNMobileNet |
640×640×3 |
29.5 M |
TFLite |
41 |
58 |
24.4 ms |
17.2 ms |
45.2 ms |
34.7 ms |
||
106 |
SSD-MobileNet |
300×300×3 |
6.5 M |
TFLite |
1136 |
1352 |
0.9 ms |
0.7 ms |
2.2 ms |
2.0 ms |
||
107 |
SSD-MobileNet-v2 |
300×300×3 |
5.8 M |
TFLite |
1145 |
1296 |
0.9 ms |
0.8 ms |
2.6 ms |
2.1 ms |
||
108 |
SSD-MobileNet-v2-mnasfpn-shared-box-predi… |
320×320×3 |
2.4 M |
TFLite |
228 |
232 |
4.4 ms |
4.3 ms |
10.5 ms |
9.6 ms |
||
109 |
SSD512 |
512×512×3 |
34.4 M |
ONNX |
21 |
29 |
47.6 ms |
34.5 ms |
65.1 ms |
47.2 ms |
||
110 |
SSDLiteMobileDet |
320×320×3 |
3.9 M |
TFLite |
1138 |
1303 |
0.9 ms |
0.8 ms |
3.3 ms |
2.6 ms |
||
111 |
SSDlite-MobileNet-v2 |
320×320×3 |
4.0 M |
ONNX |
874 |
876 |
1.1 ms |
1.1 ms |
3.2 ms |
3.0 ms |
||
112 |
SSDlite-MobileNet-v2 |
300×300×3 |
4.3 M |
TensorFlow |
1154 |
1308 |
0.9 ms |
0.8 ms |
2.6 ms |
2.1 ms |
||
113 |
SpaghettiNet-EdgeTPU |
320×320×3 |
3.3 M |
TFLite |
1137 |
1289 |
0.9 ms |
0.8 ms |
3.9 ms |
3.3 ms |
||
114 |
Text-Detection-db |
480×640×3 |
11.6 M |
TensorFlow |
59 |
82 |
16.9 ms |
12.2 ms |
24.7 ms |
17.9 ms |
||
115 |
Text-recognition-CRNN-EN8 |
32×100×1 |
5.3 M |
ONNX |
3304 |
4674 |
0.3 ms |
0.2 ms |
1.4 ms |
1.1 ms |
||
116 |
Vehicle-license-plate-Detection-barrier-0… |
300×300×3 |
619.4 K |
TFLite |
1167 |
1362 |
0.9 ms |
0.7 ms |
1.6 ms |
1.4 ms |
||
117 |
VehicleLicensePlateDetectionBarrier |
256×256×3 |
561.2 K |
TensorFlow |
1639 |
1935 |
0.6 ms |
0.5 ms |
2.4 ms |
1.9 ms |
||
118 |
YOLO-tiny |
416×416×3 |
15.1 M |
TensorFlow |
492 |
697 |
2.0 ms |
1.4 ms |
4.1 ms |
3.2 ms |
||
119 |
YOLO-v2-tiny |
416×416×3 |
15.1 M |
TFLite |
594 |
840 |
1.7 ms |
1.2 ms |
3.4 ms |
2.6 ms |
||
120 |
YOLO-v3-MobileNet-v2 |
320×320×3 |
3.2 M |
ONNX |
712 |
875 |
1.4 ms |
1.1 ms |
5.2 ms |
4.4 ms |
||
121 |
YOLO-v3-MobileNet-v2-ms |
416×416×3 |
3.2 M |
ONNX |
464 |
484 |
2.2 ms |
2.1 ms |
7.0 ms |
6.6 ms |
||
122 |
YOLO-v3-lite |
256×256×3 |
6.4 M |
ONNX |
1605 |
1852 |
0.6 ms |
0.5 ms |
3.1 ms |
2.4 ms |
||
123 |
YOLO-v4-tiny |
416×416×3 |
5.8 M |
TFLite |
608 |
675 |
1.6 ms |
1.5 ms |
3.8 ms |
3.3 ms |
||
124 |
YOLO-v5-medium-leaky |
640×640×3 |
20.2 M |
TensorFlow |
124 |
176 |
8.1 ms |
5.7 ms |
21.9 ms |
16.7 ms |
||
125 |
YOLO-v5-medium-leaky |
416×416×3 |
20.2 M |
TensorFlow |
261 |
358 |
3.8 ms |
2.8 ms |
11.5 ms |
9.2 ms |
||
126 |
YOLO-v5-medium-v6.1-fast |
640×640×3 |
20.2 M |
ONNX |
113 |
160 |
8.8 ms |
6.2 ms |
22.5 ms |
16.9 ms |
||
127 |
YOLO-v5-medium-v6.1-fastb64-VOC |
512×512×3 |
20.0 M |
ONNX |
187 |
256 |
5.3 ms |
3.9 ms |
15.5 ms |
11.2 ms |
||
128 |
YOLO-v5-mu |
640×640×3 |
23.9 M |
ONNX |
91 |
129 |
11.0 ms |
7.8 ms |
28.3 ms |
20.3 ms |
||
129 |
YOLO-v5-n6u |
1280×1280×3 |
4.1 M |
ONNX |
79 |
83 |
12.7 ms |
12.0 ms |
38.4 ms |
36.2 ms |
||
130 |
YOLO-v5-nano-leaky |
416×416×3 |
1.8 M |
TensorFlow |
439 |
468 |
2.3 ms |
2.1 ms |
6.0 ms |
5.6 ms |
||
131 |
YOLO-v5-nano-leaky |
320×320×3 |
1.8 M |
TensorFlow |
848 |
918 |
1.2 ms |
1.1 ms |
4.0 ms |
3.6 ms |
||
132 |
YOLO-v5-nano-leaky |
640×640×3 |
1.8 M |
TensorFlow |
198 |
211 |
5.1 ms |
4.7 ms |
12.1 ms |
11.4 ms |
||
133 |
YOLO-v5-nano-p6-v6.2-fast |
1280×1280×3 |
3.1 M |
ONNX |
42 |
45 |
23.8 ms |
22.2 ms |
51.7 ms |
47.8 ms |
||
134 |
YOLO-v5-nano-v6.1-fast |
640×640×3 |
1.8 M |
ONNX |
197 |
208 |
5.1 ms |
4.8 ms |
12.1 ms |
11.3 ms |
||
135 |
YOLO-v5-nano-v6.1-fastb64-VOC |
512×512×3 |
1.7 M |
ONNX |
465 |
542 |
2.2 ms |
1.8 ms |
5.0 ms |
4.3 ms |
||
136 |
YOLO-v5-nu |
640×640×3 |
2.5 M |
ONNX |
316 |
357 |
3.2 ms |
2.8 ms |
8.8 ms |
7.6 ms |
||
137 |
YOLO-v5-small-leaky |
320×320×3 |
6.9 M |
TensorFlow |
852 |
927 |
1.2 ms |
1.1 ms |
4.1 ms |
3.6 ms |
||
138 |
YOLO-v5-small-leaky |
416×416×3 |
6.9 M |
TensorFlow |
453 |
468 |
2.2 ms |
2.1 ms |
6.9 ms |
5.9 ms |
||
139 |
YOLO-v5-small-leaky |
640×640×3 |
6.9 M |
TensorFlow |
190 |
202 |
5.3 ms |
5.0 ms |
12.6 ms |
11.2 ms |
||
140 |
YOLO-v5-small-p6-v6.2-fast |
1280×1280×3 |
12.0 M |
ONNX |
38 |
45 |
26.3 ms |
22.2 ms |
63.4 ms |
54.0 ms |
||
141 |
YOLO-v5-small-v6.1-fast |
640×640×3 |
6.9 M |
ONNX |
203 |
221 |
4.9 ms |
4.5 ms |
12.2 ms |
11.2 ms |
||
142 |
YOLO-v5-small-v6.1-fastb64-VOC |
512×512×3 |
6.7 M |
ONNX |
465 |
549 |
2.2 ms |
1.8 ms |
6.4 ms |
5.4 ms |
||
143 |
YOLO-v5-su |
640×640×3 |
8.7 M |
ONNX |
266 |
358 |
3.8 ms |
2.8 ms |
11.0 ms |
9.1 ms |
||
144 |
YOLO-v6-medium-fast |
640×640×3 |
32.7 M |
ONNX |
45 |
63 |
22.2 ms |
15.9 ms |
56.7 ms |
40.4 ms |
||
145 |
YOLO-v6-nano-fast |
640×640×3 |
4.1 M |
ONNX |
320 |
371 |
3.1 ms |
2.7 ms |
7.4 ms |
6.3 ms |
||
146 |
YOLO-v6-small-fast |
640×640×3 |
16.4 M |
ONNX |
140 |
198 |
7.1 ms |
5.1 ms |
16.8 ms |
12.2 ms |
||
147 |
YOLO-v6-tiny-fast |
640×640×3 |
9.2 M |
ONNX |
226 |
320 |
4.4 ms |
3.1 ms |
10.9 ms |
8.2 ms |
||
148 |
YOLO-v7 |
480×640×3 |
5.9 M |
ONNX |
247 |
265 |
4.0 ms |
3.8 ms |
11.2 ms |
10.2 ms |
||
149 |
YOLO-v7 |
256×640×3 |
35.2 M |
ONNX |
58 |
82 |
17.2 ms |
12.2 ms |
54.6 ms |
38.8 ms |
||
150 |
YOLO-v7-tiny |
640×640×3 |
5.9 M |
ONNX |
199 |
212 |
5.0 ms |
4.7 ms |
12.8 ms |
11.6 ms |
||
151 |
YOLO-v7-tiny |
320×320×3 |
5.9 M |
ONNX |
859 |
909 |
1.2 ms |
1.1 ms |
4.2 ms |
3.8 ms |
||
152 |
YOLO-v7-tiny |
416×416×3 |
5.9 M |
ONNX |
431 |
449 |
2.3 ms |
2.2 ms |
6.5 ms |
5.8 ms |
||
153 |
YOLO-v7-tiny-fast-b |
640×640×3 |
5.9 M |
ONNX |
197 |
216 |
5.1 ms |
4.6 ms |
13.0 ms |
12.0 ms |
||
154 |
YOLO-v8-medium |
640×640×3 |
24.7 M |
TFLite |
58 |
81 |
17.2 ms |
12.3 ms |
47.8 ms |
34.6 ms |
||
155 |
YOLO-v8-medium |
640×640×3 |
24.7 M |
ONNX |
48 |
68 |
20.8 ms |
14.7 ms |
41.1 ms |
29.5 ms |
||
156 |
YOLO-v8-nano |
640×640×3 |
3.0 M |
TFLite |
318 |
350 |
3.1 ms |
2.9 ms |
9.6 ms |
8.6 ms |
||
157 |
YOLO-v8-nano |
640×640×3 |
3.0 M |
ONNX |
317 |
340 |
3.2 ms |
2.9 ms |
8.9 ms |
8.7 ms |
||
158 |
YOLO-v8-nano-Oriented-Bounding-Boxes |
1024×1024×3 |
2.9 M |
ONNX |
124 |
139 |
8.1 ms |
7.2 ms |
19.0 ms |
17.2 ms |
||
159 |
YOLO-v8-small |
640×640×3 |
10.6 M |
TFLite |
229 |
315 |
4.4 ms |
3.2 ms |
13.2 ms |
10.8 ms |
||
160 |
YOLO-v8-small |
640×640×3 |
10.6 M |
ONNX |
223 |
316 |
4.5 ms |
3.2 ms |
11.7 ms |
9.6 ms |
||
161 |
YOLO-v8-small-Oriented-Bounding-Boxes |
1024×1024×3 |
10.9 M |
ONNX |
76 |
103 |
13.2 ms |
9.7 ms |
22.7 ms |
19.5 ms |
||
162 |
YOLO-v9-medium |
640×640×3 |
19.1 M |
ONNX |
39 |
55 |
25.6 ms |
18.2 ms |
58.6 ms |
41.7 ms |
||
163 |
YOLO-v9-small |
640×640×3 |
6.9 M |
ONNX |
108 |
149 |
9.3 ms |
6.7 ms |
32.5 ms |
23.5 ms |
||
164 |
YOLO-v9-tiny |
640×640×3 |
2.0 M |
ONNX |
262 |
353 |
3.8 ms |
2.8 ms |
16.6 ms |
12.5 ms |
||
165 |
YOLOX |
640×640×3 |
8.5 M |
ONNX |
262 |
349 |
3.8 ms |
2.9 ms |
10.3 ms |
8.3 ms |
||
166 |
YOLOX-medium |
640×640×3 |
24.1 M |
ONNX |
66 |
93 |
15.2 ms |
10.8 ms |
36.0 ms |
25.7 ms |
||
167 |
YOLOX-medium-ti-lite |
416×416×3 |
24.1 M |
ONNX |
158 |
224 |
6.3 ms |
4.5 ms |
19.6 ms |
14.0 ms |
||
168 |
YOLOX-medium-ti-lite |
640×640×3 |
24.1 M |
ONNX |
79 |
113 |
12.7 ms |
8.8 ms |
32.3 ms |
23.1 ms |
||
169 |
YOLOX-nano |
416×416×3 |
883.3 K |
ONNX |
808 |
808 |
1.2 ms |
1.2 ms |
3.8 ms |
3.8 ms |
||
170 |
YOLOX-nano-ti-lite |
416×416×3 |
2.1 M |
ONNX |
770 |
899 |
1.3 ms |
1.1 ms |
3.8 ms |
3.3 ms |
||
171 |
YOLOX-small-ti-lite |
640×640×3 |
8.5 M |
ONNX |
236 |
323 |
4.2 ms |
3.1 ms |
10.1 ms |
8.3 ms |
||
172 |
YOLOX-small-ti-lite |
416×416×3 |
8.5 M |
ONNX |
510 |
722 |
2.0 ms |
1.4 ms |
5.6 ms |
4.5 ms |
||
173 |
YOLOX-tiny |
416×416×3 |
4.8 M |
ONNX |
643 |
787 |
1.6 ms |
1.3 ms |
5.1 ms |
4.4 ms |
||
174 |
YOLOX-tiny-ti-lite |
416×416×3 |
4.8 M |
ONNX |
761 |
873 |
1.3 ms |
1.1 ms |
4.7 ms |
3.9 ms |
Segmentation
# |
Name |
Input Resolution |
Params Count |
F/W |
FPS (14T) |
FPS (20T) |
Latency 1 (14T) |
Latency 1 (20T) |
Latency 2 (14T) |
Latency 2 (20T) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
175 |
Autoseg-EdgeTPU-small |
512×512×3 |
2.4 M |
TFLite |
47 |
66 |
21.3 ms |
15.2 ms |
38.4 ms |
27.5 ms |
||
176 |
DeepLab-v3 (MobileNet-v2) |
513×513×3 |
672.2 K |
TFLite |
466 |
553 |
2.1 ms |
1.8 ms |
4.6 ms |
3.8 ms |
||
177 |
Deeplab-EdgeTPU-extra-small |
512×512×3 |
3.1 M |
TFLite |
411 |
563 |
2.4 ms |
1.8 ms |
6.0 ms |
4.8 ms |
||
178 |
Deeplab-EdgeTPU-medium |
512×512×3 |
6.8 M |
TFLite |
234 |
331 |
4.3 ms |
3.0 ms |
10.3 ms |
7.6 ms |
||
179 |
Deeplab-EdgeTPU-small |
512×512×3 |
4.5 M |
TFLite |
322 |
456 |
3.1 ms |
2.2 ms |
6.9 ms |
5.2 ms |
||
180 |
Deeplab-v3 |
257×257×3 |
672.2 K |
TFLite |
1408 |
1970 |
0.7 ms |
0.5 ms |
2.8 ms |
2.2 ms |
||
181 |
Deeplab-v3-plus |
1024×1024×3 |
2.1 M |
TFLite |
23 |
29 |
43.5 ms |
34.5 ms |
63.6 ms |
50.4 ms |
||
182 |
EdgeTPU-DeepLab-slim |
513×513×3 |
2.0 M |
TFLite |
467 |
561 |
2.1 ms |
1.8 ms |
6.2 ms |
5.0 ms |
||
183 |
Edgetpu-segmentation-EdgeTPU |
512×512×3 |
2.2 M |
TFLite |
47 |
67 |
21.3 ms |
14.9 ms |
37.1 ms |
26.6 ms |
||
184 |
Edgetpu-segmentation-EdgeTPU |
16×16×320 |
49.5 K |
TFLite |
765 |
771 |
1.3 ms |
1.3 ms |
2.3 ms |
2.3 ms |
||
185 |
FastSAM-small |
640×640×3 |
11.2 M |
ONNX |
80 |
113 |
12.5 ms |
8.8 ms |
22.8 ms |
17.7 ms |
||
186 |
HRNet |
256×192×3 |
27.2 M |
ONNX |
108 |
153 |
9.3 ms |
6.5 ms |
46.2 ms |
32.8 ms |
||
187 |
Human-segmentation |
192×192×3 |
1.5 M |
TFLite |
652 |
746 |
1.5 ms |
1.3 ms |
3.4 ms |
2.8 ms |
||
188 |
MagicTouch |
512×512×4 |
2.9 M |
TFLite |
223 |
300 |
4.5 ms |
3.3 ms |
11.1 ms |
8.9 ms |
||
189 |
MediaPipe-selfie-segmentation |
256×256×3 |
103.8 K |
TFLite |
691 |
934 |
1.4 ms |
1.1 ms |
4.4 ms |
3.7 ms |
||
190 |
MediaPipe-selfie-segmentation-landscape |
144×256×3 |
103.9 K |
TFLite |
1413 |
1999 |
0.7 ms |
0.5 ms |
2.9 ms |
2.5 ms |
||
191 |
PaNet-ResNet-18-ffm |
640×640×3 |
11.7 M |
ONNX |
27 |
39 |
37.0 ms |
25.6 ms |
56.9 ms |
40.5 ms |
||
192 |
Selfie-Segmentation |
256×256×3 |
103.9 K |
TFLite |
766 |
1070 |
1.3 ms |
0.9 ms |
4.6 ms |
3.5 ms |
||
193 |
U-NetMobileNet-v2 |
256×256×3 |
6.2 M |
TFLite |
51 |
71 |
19.6 ms |
14.1 ms |
23.4 ms |
17.2 ms |
||
194 |
UNet |
1024×1024×3 |
1.9 M |
TFLite |
27 |
32 |
37.0 ms |
31.2 ms |
43.4 ms |
37.0 ms |
||
195 |
UNet |
256×256×1 |
29.6 M |
ONNX |
31 |
44 |
32.3 ms |
22.7 ms |
35.5 ms |
25.4 ms |
||
196 |
Xray-80-whole-f2 |
256×256×1 |
29.6 M |
Keras |
34 |
48 |
29.4 ms |
20.8 ms |
43.5 ms |
30.9 ms |
||
197 |
YOLO-v8-medium-seg |
640×640×3 |
26.0 M |
ONNX |
27 |
38 |
37.0 ms |
26.3 ms |
61.1 ms |
44.6 ms |
||
198 |
YOLO-v8-nano-seg |
640×640×3 |
3.2 M |
ONNX |
165 |
171 |
6.1 ms |
5.8 ms |
15.0 ms |
14.1 ms |
||
199 |
YuNet |
120×160×3 |
81.1 K |
TensorFlow |
5310 |
5816 |
0.2 ms |
0.2 ms |
0.6 ms |
0.5 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
200 |
BodyPix (MobileNet) |
480×640×3 |
1.2 M |
TFLite |
406 |
478 |
2.5 ms |
2.1 ms |
4.9 ms |
4.3 ms |
||
201 |
BodyPix (MobileNet) |
512×512×3 |
1.2 M |
TFLite |
467 |
558 |
2.1 ms |
1.8 ms |
4.4 ms |
3.8 ms |
||
202 |
BodyPix (MobileNet) |
768×1024×3 |
1.2 M |
TFLite |
167 |
194 |
6.0 ms |
5.2 ms |
10.5 ms |
9.1 ms |
||
203 |
BodyPix (MobileNet) |
576×768×3 |
1.2 M |
TFLite |
293 |
347 |
3.4 ms |
2.9 ms |
6.6 ms |
5.7 ms |
||
204 |
BodyPix (MobileNet) |
720×1280×3 |
1.2 M |
TFLite |
144 |
167 |
6.9 ms |
6.0 ms |
12.0 ms |
10.7 ms |
||
205 |
BodyPix (MobileNet) |
352×480×3 |
1.2 M |
TFLite |
790 |
928 |
1.3 ms |
1.1 ms |
3.2 ms |
2.8 ms |
||
206 |
BodyPix (ResNet-50) |
496×768×3 |
22.7 M |
TFLite |
152 |
215 |
6.6 ms |
4.7 ms |
17.6 ms |
12.9 ms |
||
207 |
BodyPix (ResNet-50) |
624×864×3 |
22.7 M |
TFLite |
112 |
159 |
8.9 ms |
6.3 ms |
20.3 ms |
14.8 ms |
||
208 |
BodyPix (ResNet-50) |
288×416×3 |
22.7 M |
TFLite |
247 |
348 |
4.0 ms |
2.9 ms |
12.4 ms |
9.1 ms |
||
209 |
BodyPix (ResNet-50) |
480×640×3 |
22.7 M |
TFLite |
101 |
138 |
9.9 ms |
7.2 ms |
23.7 ms |
17.6 ms |
||
210 |
BodyPix (ResNet-50) |
672×928×3 |
22.7 M |
TFLite |
53 |
76 |
18.9 ms |
13.2 ms |
35.4 ms |
25.8 ms |
||
211 |
HHP-Net |
1×5×1, 1×5×1, 1×5×1 |
36.4 K |
TFLite |
6494 |
6494 |
0.2 ms |
0.2 ms |
0.3 ms |
0.3 ms |
||
212 |
Handpose-estimation-mediapipe |
224×224×3 |
988.0 K |
ONNX |
1898 |
2185 |
0.5 ms |
0.5 ms |
1.5 ms |
1.2 ms |
||
213 |
Human-pose-estimation-3d-0001 |
256×448×3 |
4.8 M |
ONNX |
461 |
652 |
2.2 ms |
1.5 ms |
9.2 ms |
6.8 ms |
||
214 |
MediaPipe-pose-landk |
256×256×3 |
3.0 M |
TFLite |
528 |
644 |
1.9 ms |
1.6 ms |
4.9 ms |
4.2 ms |
||
215 |
MediaPipe-pose-landk-heavy |
256×256×3 |
13.1 M |
TFLite |
103 |
146 |
9.7 ms |
6.8 ms |
14.6 ms |
10.7 ms |
||
216 |
MediaPipe-pose-landk-lite |
256×256×3 |
1.3 M |
TFLite |
517 |
591 |
1.9 ms |
1.7 ms |
4.4 ms |
3.7 ms |
||
217 |
MoveNet.SinglePose.Lightning |
192×192×3 |
2.2 M |
TFLite |
1507 |
1538 |
0.7 ms |
0.7 ms |
2.7 ms |
2.4 ms |
||
218 |
MoveNet.SinglePose.Thunder |
256×256×3 |
5.9 M |
TFLite |
903 |
924 |
1.1 ms |
1.1 ms |
5.1 ms |
4.4 ms |
||
219 |
P-STMO |
3×17, 3×17 |
0.0 K |
ONNX |
3721 |
3721 |
0.3 ms |
0.3 ms |
0.3 ms |
0.3 ms |
||
220 |
Pose-estimation-mediapipe |
258×258×3 |
1.3 M |
ONNX |
525 |
591 |
1.9 ms |
1.7 ms |
4.5 ms |
3.7 ms |
||
221 |
PoseC3D |
48×64×64×17 |
2.0 M |
ONNX |
29 |
41 |
34.5 ms |
24.4 ms |
41.8 ms |
30.4 ms |
||
222 |
PoseC3D |
48×56×56×17 |
2.9 M |
ONNX |
33 |
47 |
30.3 ms |
21.3 ms |
36.9 ms |
26.6 ms |
||
223 |
PoseNet (MobileNet) |
353×481×3 |
1.2 M |
TFLite |
787 |
928 |
1.3 ms |
1.1 ms |
2.8 ms |
2.5 ms |
||
224 |
PoseNet (MobileNet) |
481×641×3 |
1.2 M |
TFLite |
407 |
486 |
2.5 ms |
2.1 ms |
4.6 ms |
4.0 ms |
||
225 |
PoseNet (MobileNet) |
721×1281×3 |
1.2 M |
TFLite |
145 |
169 |
6.9 ms |
5.9 ms |
11.4 ms |
10.0 ms |
||
226 |
PoseNet (ResNet-50) |
288×416×3 |
22.6 M |
TFLite |
258 |
365 |
3.9 ms |
2.7 ms |
12.2 ms |
8.9 ms |
||
227 |
PoseNet (ResNet-50) |
496×768×3 |
22.6 M |
TFLite |
153 |
217 |
6.5 ms |
4.6 ms |
16.6 ms |
12.1 ms |
||
228 |
PoseNet (ResNet-50) |
736×960×3 |
22.6 M |
TFLite |
83 |
117 |
12.0 ms |
8.5 ms |
24.9 ms |
18.1 ms |
||
229 |
PoseNet (ResNet-50) |
624×864×3 |
22.6 M |
TFLite |
112 |
159 |
8.9 ms |
6.3 ms |
20.4 ms |
14.8 ms |
||
230 |
PoseNet (ResNet-50) |
480×640×3 |
22.6 M |
TFLite |
117 |
165 |
8.5 ms |
6.1 ms |
20.3 ms |
14.8 ms |
||
231 |
PoseNet (ResNet-50) |
672×928×3 |
22.6 M |
TFLite |
53 |
75 |
18.9 ms |
13.3 ms |
35.6 ms |
25.8 ms |
||
232 |
RtmDet-nano-person |
320×320×3 |
962.8 K |
ONNX |
1162 |
1340 |
0.9 ms |
0.7 ms |
3.5 ms |
2.6 ms |
||
233 |
YOLO-v8-medium-pose |
640×640×3 |
25.2 M |
ONNX |
44 |
62 |
22.7 ms |
16.1 ms |
43.2 ms |
30.9 ms |
||
234 |
YOLO-v8-nano-pose |
640×640×3 |
3.1 M |
ONNX |
317 |
329 |
3.2 ms |
3.0 ms |
10.0 ms |
8.7 ms |
||
235 |
YOLO-v8-small-pose |
640×640×3 |
11.1 M |
ONNX |
228 |
317 |
4.4 ms |
3.2 ms |
12.9 ms |
10.6 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
236 |
AOD-Net |
720×1280×3 |
1.7 K |
TFLite |
17 |
24 |
58.8 ms |
41.7 ms |
62.3 ms |
45.3 ms |
||
237 |
AOD-Net |
480×640×3 |
1.7 K |
TFLite |
52 |
73 |
19.2 ms |
13.7 ms |
21.4 ms |
15.7 ms |
||
238 |
Colorization-v2 |
256×256×1 |
30.7 M |
ONNX |
36 |
51 |
27.8 ms |
19.6 ms |
40.4 ms |
29.2 ms |
||
239 |
DPED |
384×512×48 |
414.7 K |
TFLite |
25 |
25 |
40.0 ms |
40.0 ms |
77.8 ms |
76.3 ms |
||
240 |
ESRGAN |
128×128×3 |
1.2 M |
TFLite |
59 |
80 |
16.9 ms |
12.5 ms |
24.7 ms |
18.1 ms |
||
241 |
Fast-SRGAN |
512×512×3 |
154.9 K |
TFLite |
4 |
5 |
250.0 ms |
200.0 ms |
272.3 ms |
195.8 ms |
||
242 |
Fast-SRGAN |
128×128×3 |
154.9 K |
TFLite |
59 |
81 |
16.9 ms |
12.3 ms |
18.3 ms |
13.6 ms |
||
243 |
IMDN |
480×640×3 |
873.0 K |
TFLite |
9 |
12 |
111.1 ms |
83.3 ms |
177.0 ms |
142.5 ms |
||
244 |
IMDN |
360×640×3 |
873.0 K |
TFLite |
12 |
16 |
83.3 ms |
62.5 ms |
136.1 ms |
108.8 ms |
||
245 |
Imdn |
1024×1024×3 |
149.1 K |
TFLite |
39 |
42 |
25.6 ms |
23.8 ms |
30.5 ms |
28.7 ms |
||
246 |
MBLLEN |
480×640×3 |
439.6 K |
TFLite |
11 |
15 |
90.9 ms |
66.7 ms |
99.7 ms |
71.0 ms |
||
247 |
MBLLEN |
720×1280×3 |
439.6 K |
TFLite |
4 |
5 |
250.0 ms |
200.0 ms |
291.4 ms |
207.2 ms |
||
248 |
Noise2Noise |
256×256×3 |
1.2 M |
TFLite |
61 |
86 |
16.4 ms |
11.6 ms |
20.9 ms |
15.2 ms |
||
249 |
PMN |
416×416×4 |
7.4 M |
ONNX |
43 |
61 |
23.3 ms |
16.4 ms |
27.5 ms |
19.8 ms |
||
250 |
SCI |
288×800×3 |
0.2 K |
ONNX |
340 |
380 |
2.9 ms |
2.6 ms |
4.5 ms |
4.1 ms |
||
251 |
SCL-LLE |
240×320×3 |
77.6 K |
TFLite |
104 |
148 |
9.6 ms |
6.8 ms |
13.7 ms |
10.8 ms |
||
252 |
SCL-LLE |
180×320×3 |
77.6 K |
TFLite |
138 |
195 |
7.2 ms |
5.1 ms |
10.5 ms |
8.3 ms |
||
253 |
SRCNN-di-v2-k |
896×896×3 |
19.6 K |
ONNX |
7 |
10 |
142.9 ms |
100.0 ms |
138.8 ms |
99.1 ms |
||
254 |
SRGAN |
256×256×3 |
1.4 M |
TFLite |
8 |
11 |
125.0 ms |
90.9 ms |
137.3 ms |
97.6 ms |
||
255 |
Semantic-Guided-Low-Light-Image-Enhanceme… |
24×54×3 |
10.3 K |
ONNX |
6652 |
6970 |
0.2 ms |
0.1 ms |
0.4 ms |
0.4 ms |
||
256 |
Super-Resolution |
224×224×1 |
58.3 K |
ONNX |
160 |
227 |
6.2 ms |
4.4 ms |
7.1 ms |
5.3 ms |
||
257 |
TBEFN |
180×320×3 |
475.0 K |
TFLite |
201 |
233 |
5.0 ms |
4.3 ms |
6.3 ms |
5.7 ms |
||
258 |
TBEFN |
240×320×3 |
475.0 K |
TFLite |
158 |
178 |
6.3 ms |
5.6 ms |
7.8 ms |
7.1 ms |
||
259 |
VSR |
540×960×3 |
18.6 K |
TFLite |
11 |
11 |
90.9 ms |
90.9 ms |
163.0 ms |
159.1 ms |
||
260 |
XLSR |
360×640×3 |
21.5 K |
TFLite |
34 |
34 |
29.4 ms |
29.4 ms |
50.8 ms |
46.8 ms |
||
261 |
Y-Net |
480×640×3 |
190.9 K |
TFLite |
32 |
40 |
31.2 ms |
25.0 ms |
33.2 ms |
27.1 ms |
||
262 |
Y-Net |
240×320×3 |
190.9 K |
TFLite |
130 |
161 |
7.7 ms |
6.2 ms |
9.0 ms |
7.4 ms |
||
263 |
Zero-DCE |
360×640×3 |
77.6 K |
TFLite |
40 |
42 |
25.0 ms |
23.8 ms |
33.6 ms |
32.4 ms |
||
264 |
Zero-DCE |
240×320×3 |
77.6 K |
TFLite |
121 |
127 |
8.3 ms |
7.9 ms |
11.8 ms |
11.4 ms |
||
265 |
Zero-DCE-improved |
360×512×3 |
23.0 K |
ONNX |
87 |
101 |
11.5 ms |
9.9 ms |
17.1 ms |
15.3 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
266 |
ACR-Loss |
224×224×3 |
2.3 M |
TFLite |
1894 |
2252 |
0.5 ms |
0.4 ms |
1.6 ms |
1.3 ms |
||
267 |
BlazeFace |
128×128×3 |
99.0 K |
TensorFlow |
6021 |
7147 |
0.2 ms |
0.1 ms |
0.6 ms |
0.6 ms |
||
268 |
Face-Detection-0100 |
256×256×3 |
1.7 M |
TFLite |
1634 |
1894 |
0.6 ms |
0.5 ms |
1.7 ms |
1.4 ms |
||
269 |
Face-Detection-YuNet |
640×640×3 |
51.9 K |
ONNX |
322 |
377 |
3.1 ms |
2.7 ms |
4.9 ms |
4.2 ms |
||
270 |
Face-Detection-adas-0001 |
384×672×3 |
1.0 M |
TFLite |
526 |
626 |
1.9 ms |
1.6 ms |
3.7 ms |
3.3 ms |
||
271 |
Face-Mask-Detection |
300×300×3 |
2.5 M |
TFLite |
840 |
1189 |
1.2 ms |
0.8 ms |
2.9 ms |
2.3 ms |
||
272 |
Face-landk |
160×160×3 |
611.3 K |
ONNX |
3998 |
4722 |
0.3 ms |
0.2 ms |
0.8 ms |
0.7 ms |
||
273 |
Face-recognition-sface |
112×112×3 |
9.2 M |
ONNX |
2580 |
3649 |
0.4 ms |
0.3 ms |
1.5 ms |
1.1 ms |
||
274 |
FaceBoxes |
1024×1024×3 |
982.3 K |
ONNX |
126 |
150 |
7.9 ms |
6.7 ms |
10.8 ms |
9.5 ms |
||
275 |
FaceMesh |
192×192×3 |
590.5 K |
TFLite |
3526 |
3945 |
0.3 ms |
0.3 ms |
0.9 ms |
0.8 ms |
||
276 |
MediaPipe-face-Detection-range |
192×192×3 |
502.1 K |
TFLite |
2577 |
3514 |
0.4 ms |
0.3 ms |
1.7 ms |
1.4 ms |
||
277 |
MediaPipe-face-Detection-short-range |
128×128×3 |
99.1 K |
TFLite |
6093 |
7187 |
0.2 ms |
0.1 ms |
0.6 ms |
0.6 ms |
||
278 |
MediaPipe-face-landk |
192×192×3 |
590.5 K |
TFLite |
3540 |
3946 |
0.3 ms |
0.3 ms |
0.9 ms |
0.7 ms |
||
279 |
MediaPipe-iris-landk |
64×64×3 |
636.0 K |
TFLite |
8508 |
8508 |
0.1 ms |
0.1 ms |
0.6 ms |
0.6 ms |
||
280 |
RetinaFacewithResNet-50 |
640×640×3 |
26.0 M |
ONNX |
45 |
64 |
22.2 ms |
15.6 ms |
34.7 ms |
25.0 ms |
||
281 |
SFace |
112×112×3 |
9.2 M |
TFLite |
2579 |
3650 |
0.4 ms |
0.3 ms |
1.4 ms |
1.1 ms |
||
282 |
SSD-MobileNet-v2 (Face) |
320×320×3 |
5.1 M |
TFLite |
1142 |
1350 |
0.9 ms |
0.7 ms |
2.6 ms |
2.1 ms |
||
283 |
SynergyNet |
120×120×3 |
2.2 M |
ONNX |
4939 |
6983 |
0.2 ms |
0.1 ms |
0.9 ms |
0.8 ms |
||
284 |
UltraLightweightFaceDetectionRFB320 |
240×320×3 |
274.5 K |
ONNX |
1625 |
1870 |
0.6 ms |
0.5 ms |
1.4 ms |
1.3 ms |
||
285 |
UltraLightweightFaceDetectionslim320 |
240×320×3 |
258.5 K |
ONNX |
1648 |
1946 |
0.6 ms |
0.5 ms |
1.3 ms |
1.2 ms |
||
286 |
Ultraface |
240×320×3 |
274.5 K |
ONNX |
1621 |
1871 |
0.6 ms |
0.5 ms |
1.4 ms |
1.3 ms |
||
287 |
Ultraface |
480×640×3 |
274.5 K |
ONNX |
408 |
486 |
2.5 ms |
2.1 ms |
3.8 ms |
3.4 ms |
||
288 |
Version-RFB |
240×320×3 |
274.5 K |
ONNX |
1626 |
1863 |
0.6 ms |
0.5 ms |
1.4 ms |
1.3 ms |
||
289 |
WHENet |
224×224×3 |
4.1 M |
TFLite |
970 |
1374 |
1.0 ms |
0.7 ms |
6.4 ms |
4.8 ms |
||
290 |
YOLO-v5-Face |
256×320×3 |
1.6 M |
TensorFlow |
1554 |
1822 |
0.6 ms |
0.5 ms |
2.9 ms |
2.3 ms |
||
291 |
YuNet-v2 |
640×640×3 |
51.9 K |
TFLite |
324 |
380 |
3.1 ms |
2.6 ms |
4.8 ms |
4.2 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
292 |
Aiy-vision-classifier-birds |
224×224×3 |
3.3 M |
TFLite |
1785 |
2247 |
0.6 ms |
0.4 ms |
2.0 ms |
1.6 ms |
||
293 |
Aiy-vision-classifier-food |
192×192×3 |
5.0 M |
TFLite |
3513 |
3903 |
0.3 ms |
0.3 ms |
1.5 ms |
1.2 ms |
||
294 |
Aiy-vision-classifier-insects |
224×224×3 |
3.4 M |
TFLite |
1785 |
2223 |
0.6 ms |
0.4 ms |
1.9 ms |
1.6 ms |
||
295 |
Aiy-vision-classifier-plants |
224×224×3 |
4.7 M |
TFLite |
1785 |
2239 |
0.6 ms |
0.4 ms |
2.0 ms |
1.6 ms |
||
296 |
Anti-spoof-mn3 |
128×128×3 |
2.9 M |
TFLite |
4377 |
6190 |
0.2 ms |
0.2 ms |
1.8 ms |
1.4 ms |
||
297 |
Gender-googleNet |
224×224×3 |
5.7 M |
ONNX |
519 |
734 |
1.9 ms |
1.4 ms |
3.8 ms |
2.9 ms |
||
298 |
Malaria-Detector |
125×125×3 |
6.7 M |
Keras |
6504 |
7524 |
0.2 ms |
0.1 ms |
0.6 ms |
0.5 ms |
||
299 |
NSFW |
224×224×3 |
5.6 M |
TFLite |
1793 |
2165 |
0.6 ms |
0.5 ms |
2.3 ms |
1.8 ms |
||
300 |
Person-Attributes-recog-crossroad-0230 |
160×80×3 |
717.7 K |
TFLite |
5819 |
7572 |
0.2 ms |
0.1 ms |
0.7 ms |
0.5 ms |
||
301 |
Vehicle-Attributes-recog-barrier-0039 |
72×72×3 |
611.5 K |
TFLite |
7148 |
7862 |
0.1 ms |
0.1 ms |
0.6 ms |
0.6 ms |
||
302 |
Vehicle-Attributes-recog-barrier-0042 |
72×72×3 |
10.7 M |
TFLite |
5907 |
7304 |
0.2 ms |
0.1 ms |
1.2 ms |
1.0 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
303 |
Driver-action-recognition-adas-0002-encod… |
224×224×3 |
2.7 M |
TFLite |
1891 |
2259 |
0.5 ms |
0.4 ms |
1.7 ms |
1.4 ms |
||
304 |
Gaze-estimation-adas-0002 |
60×60×3, 60×60×3, 3 |
1.8 M |
TFLite |
3204 |
3204 |
0.3 ms |
0.3 ms |
0.8 ms |
0.8 ms |
||
305 |
Open-closed-eye-0001 |
32×32×3 |
11.0 K |
ONNX |
10945 |
10945 |
0.1 ms |
0.1 ms |
0.2 ms |
0.2 ms |
||
306 |
Pedestrian-Detection-adas-0002 |
384×672×3 |
1.1 M |
TFLite |
524 |
608 |
1.9 ms |
1.6 ms |
3.9 ms |
3.5 ms |
||
307 |
Pedestrian-and-vehicle-Detector-adas-0001 |
384×672×3 |
1.6 M |
TFLite |
522 |
619 |
1.9 ms |
1.6 ms |
4.2 ms |
3.6 ms |
||
308 |
Road-segmentation-adas-0001 |
512×896×3 |
180.0 K |
TFLite |
139 |
174 |
7.2 ms |
5.7 ms |
10.6 ms |
8.3 ms |
||
309 |
Vehicle-Detection-0200 |
256×256×3 |
1.7 M |
TFLite |
1636 |
1884 |
0.6 ms |
0.5 ms |
1.7 ms |
1.4 ms |
||
310 |
YOLOp320 |
320×320×3 |
7.6 M |
ONNX |
380 |
507 |
2.6 ms |
2.0 ms |
7.3 ms |
5.5 ms |
||
311 |
YOLOp640 |
640×640×3 |
7.6 M |
ONNX |
123 |
159 |
8.1 ms |
6.3 ms |
18.4 ms |
14.1 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
312 |
Hand-Detection-and-Tracking |
256×256×3 |
1.3 M |
TensorFlow |
1035 |
1127 |
1.0 ms |
0.9 ms |
4.3 ms |
3.4 ms |
||
313 |
Hand-recrop |
256×256×3 |
26.1 K |
TFLite |
1625 |
1980 |
0.6 ms |
0.5 ms |
1.0 ms |
0.9 ms |
||
314 |
MediaPipe-hand-landk |
224×224×3 |
2.6 M |
TFLite |
1867 |
2234 |
0.5 ms |
0.4 ms |
1.9 ms |
1.5 ms |
||
315 |
MediaPipe-hand-landk-lite |
224×224×3 |
988.0 K |
TFLite |
1893 |
2174 |
0.5 ms |
0.5 ms |
1.4 ms |
1.2 ms |
||
316 |
MediaPipe-hand-recrop |
256×256×3 |
26.4 K |
TFLite |
1621 |
1980 |
0.6 ms |
0.5 ms |
1.1 ms |
0.9 ms |
||
317 |
MediaPipe-palm-Detection |
192×192×3 |
1.1 M |
TFLite |
906 |
1280 |
1.1 ms |
0.8 ms |
2.7 ms |
2.1 ms |
||
318 |
MediaPipe-palm-Detection-lite |
192×192×3 |
937.6 K |
TFLite |
1259 |
1736 |
0.8 ms |
0.6 ms |
2.2 ms |
1.8 ms |
||
319 |
Palm-Detection-mediapipe |
192×192×3 |
937.6 K |
ONNX |
1138 |
1551 |
0.9 ms |
0.6 ms |
2.3 ms |
1.9 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
320 |
Graft-PSMNet |
120×160×256 |
1.2 M |
ONNX |
92 |
92 |
10.9 ms |
10.9 ms |
22.0 ms |
22.0 ms |
||
321 |
Graft-PSMNet |
80×120×256 |
1.2 M |
ONNX |
184 |
184 |
5.4 ms |
5.4 ms |
10.4 ms |
10.4 ms |
||
322 |
HR-Depth |
384×1280×3 |
10.7 M |
ONNX |
29 |
29 |
34.5 ms |
34.5 ms |
69.9 ms |
68.2 ms |
||
323 |
PyDNet |
192×320×3 |
1.9 M |
TFLite |
354 |
501 |
2.8 ms |
2.0 ms |
5.0 ms |
3.8 ms |
||
324 |
PyDNet2 |
384×1280×3 |
699.9 K |
TFLite |
44 |
63 |
22.7 ms |
15.9 ms |
28.8 ms |
21.6 ms |
||
325 |
PyDNet2 |
384×640×3 |
699.9 K |
TFLite |
89 |
126 |
11.2 ms |
7.9 ms |
14.8 ms |
11.1 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
326 |
Arbitrary-stylization-inception-v3 |
256×256×3 |
8.6 M |
TFLite |
566 |
802 |
1.8 ms |
1.2 ms |
4.8 ms |
3.5 ms |
||
327 |
Facial-cartoonizer |
512×512×3 |
2.0 M |
ONNX |
59 |
81 |
16.9 ms |
12.3 ms |
20.7 ms |
15.4 ms |
||
328 |
Magenta-arbitrary-stylization-256 |
256×256×3 |
2.2 M |
TFLite |
1644 |
1977 |
0.6 ms |
0.5 ms |
1.7 ms |
1.4 ms |
||
329 |
MobileStyleGAN |
512 |
2.0 M |
ONNX |
13730 |
13730 |
0.1 ms |
0.1 ms |
0.3 ms |
0.3 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
330 |
Emotion-FERPlus |
64×64×1 |
8.4 M |
TFLite |
965 |
1367 |
1.0 ms |
0.7 ms |
1.8 ms |
1.3 ms |
||
331 |
Emotion-ferplus |
64×64×1 |
8.4 M |
ONNX |
991 |
1404 |
1.0 ms |
0.7 ms |
1.8 ms |
1.3 ms |
||
332 |
Facial-expRession-recognition-MobilefaceN… |
112×112×3 |
1.1 M |
TFLite |
5722 |
7618 |
0.2 ms |
0.1 ms |
0.9 ms |
0.8 ms |
||
333 |
Facial-expRession-recognition-MobilefaceN… |
112×112×3 |
1.1 M |
ONNX |
5722 |
7617 |
0.2 ms |
0.1 ms |
0.9 ms |
0.8 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
334 |
FRILL |
96×64×1 |
9.6 M |
TFLite |
5465 |
7725 |
0.2 ms |
0.1 ms |
1.3 ms |
1.0 ms |
||
335 |
Light-SERNet |
184×40×1 |
449.9 K |
TFLite |
3213 |
3369 |
0.3 ms |
0.3 ms |
0.7 ms |
0.6 ms |
||
336 |
Speech-enhancement |
128×128×1 |
1.9 M |
ONNX |
967 |
1370 |
1.0 ms |
0.7 ms |
2.1 ms |
1.6 ms |
||
337 |
YAMNet |
96×64×1 |
3.6 M |
TFLite |
7879 |
7881 |
0.1 ms |
0.1 ms |
0.9 ms |
0.7 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
338 |
American-sign-language |
224×224×3 |
2.7 M |
TFLite |
1899 |
2260 |
0.5 ms |
0.4 ms |
1.6 ms |
1.3 ms |
||
339 |
FINNger |
96×96×3 |
3.2 M |
TensorFlow |
379 |
537 |
2.6 ms |
1.9 ms |
3.8 ms |
2.8 ms |
||
340 |
Naruto-handsign-Detection |
416×416×3 |
871.1 K |
TFLite |
809 |
809 |
1.2 ms |
1.2 ms |
3.5 ms |
3.5 ms |
Tracking
# |
Name |
Input Resolution |
Params Count |
F/W |
FPS (14T) |
FPS (20T) |
Latency 1 (14T) |
Latency 1 (20T) |
Latency 2 (14T) |
Latency 2 (20T) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
341 |
LiteTrack |
127×127×3 |
1.2 M |
TFLite |
2447 |
3464 |
0.4 ms |
0.3 ms |
2.7 ms |
2.0 ms |
||
342 |
Object-tracking-dasiamrpn |
360×480×3 |
4.8 M |
ONNX |
93 |
132 |
10.8 ms |
7.6 ms |
12.6 ms |
9.2 ms |
||
343 |
Object-tracking-dasiamrpn-kernel-r1 |
24×24×256 |
11.3 M |
ONNX |
84 |
84 |
11.9 ms |
11.9 ms |
24.9 ms |
24.9 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
344 |
Pointpillars-hv-secfpn-kitti-3d-3class |
496×432×64 |
4.6 M |
ONNX |
10 |
15 |
100.0 ms |
66.7 ms |
123.0 ms |
94.7 ms |
||
345 |
Pointpillars-hv-secfpn-sbn-all-2x-nus-3d |
400×400×64 |
4.7 M |
ONNX |
13 |
18 |
76.9 ms |
55.6 ms |
125.8 ms |
102.9 ms |
||
346 |
SFA3D |
608×608×3 |
12.1 M |
TensorFlow |
90 |
95 |
11.1 ms |
10.5 ms |
20.0 ms |
17.2 ms |
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) |
Source |
DFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
347 |
M-LSD |
320×320×4 |
599.8 K |
TFLite |
804 |
1054 |
1.2 ms |
0.9 ms |
3.1 ms |
2.6 ms |
||
348 |
M-LSD |
512×512×4 |
1.5 M |
TFLite |
31 |
44 |
32.3 ms |
22.7 ms |
37.9 ms |
28.0 ms |
Re-identification
Third-Party Licenses
Each of these models is shared under the original creator’s license. Please check the license at the source page.