DX Model Zoo
Image Classification
Task | Name | Dataset | Input Resolution | Operations | Parameters | License | Metric | Raw Accuracy | NPU Accuracy | FPS | FPS/W | Source | Compiled | onnx | json |
Image Classification |
AlexNet-1 |
ImageNet |
224x224x3 |
0.72 |
61.10 |
BSD 3-Clause |
Top1 |
56.54 |
56.34 |
684 |
1465.34 |
Source |
Compiled |
onnx |
json |
Image Classification |
DenseNet121-1 |
ImageNet |
224x224x3 |
3.19 |
8.04 |
BSD 3-Clause |
Top1 |
74.43 |
73.53 |
537 |
536.09 |
Source |
Compiled |
onnx |
json |
Image Classification |
DenseNet161-1 |
ImageNet |
224x224x3 |
8.43 |
28.86 |
BSD 3-Clause |
Top1 |
77.11 |
76.69 |
284 |
253.96 |
Source |
Compiled |
onnx |
json |
Image Classification |
EfficientNetB2-1 |
ImageNet |
288x288x3 |
1.60 |
9.08 |
BSD 3-Clause |
Top1 |
80.61 |
79.24 |
860 |
837.47 |
Source |
Compiled |
onnx |
json |
Image Classification |
HarDNet39DS-1 |
ImageNet |
224x224x3 |
0.44 |
3.48 |
MIT |
Top1 |
72.08 |
71.40 |
2909 |
2898.14 |
Source |
Compiled |
onnx |
json |
Image Classification |
MobileNetV1-1 |
ImageNet |
224x224x3 |
0.58 |
4.22 |
Apache-2.0 |
Top1 |
69.49 |
68.77 |
5747 |
2093.36 |
Source |
Compiled |
onnx |
json |
Image Classification |
MobileNetV2-1 |
ImageNet |
224x224x3 |
0.32 |
3.49 |
BSD 3-Clause |
Top1 |
72.14 |
71.82 |
3523 |
3242.66 |
Source |
Compiled |
onnx |
json |
Image Classification |
MobileNetV3L-1 |
ImageNet |
224x224x3 |
4.26 |
17.56 |
BSD 3-Clause |
Top1 |
75.25 |
71.35 |
2692 |
3321.77 |
Source |
Compiled |
onnx |
json |
Image Classification |
RegNetX400MF-1 |
ImageNet |
224x224x3 |
0.81 |
7.24 |
BSD 3-Clause |
Top1 |
74.88 |
74.44 |
900 |
1924.98 |
Source |
Compiled |
onnx |
json |
Image Classification |
RegNetX800MF-1 |
ImageNet |
224x224x3 |
0.21 |
3.15 |
MIT |
Top1 |
77.52 |
77.19 |
732 |
1206.38 |
Source |
Compiled |
onnx |
json |
Image Classification |
RegNetY200MF-1 |
ImageNet |
224x224x3 |
0.41 |
4.33 |
BSD 3-Clause |
Top1 |
70.36 |
70.12 |
2646 |
4213.044 |
Source |
Compiled |
onnx |
json |
Image Classification |
RegNetY400MF-1 |
ImageNet |
224x224x3 |
0.85 |
6.42 |
BSD 3-Clause |
Top1 |
75.78 |
75.41 |
1909 |
2241.00 |
Source |
Compiled |
onnx |
json |
Image Classification |
RegNetY800MF-1 |
ImageNet |
224x224x3 |
4.83 |
12.79 |
MIT |
Top1 |
78.83 |
78.53 |
1187 |
1263.84 |
Source |
Compiled |
onnx |
json |
Image Classification |
ResNet101-1 |
ImageNet |
320x320x3 |
1.82 |
11.69 |
BSD 3-Clause |
Top1 |
81.90 |
81.63 |
685 |
270.11 |
Source |
Compiled |
onnx |
json |
Image Classification |
ResNet18-1 |
ImageNet |
224x224x3 |
4.12 |
25.53 |
BSD 3-Clause |
Top1 |
69.75 |
69.66 |
3022 |
1173.87 |
Source |
Compiled |
onnx |
json |
Image Classification |
ResNet34-1 |
ImageNet |
224x224x3 |
4.4 |
1.14 |
MIT |
Top1 |
73.30 |
73.22 |
1587 |
580.62 |
Source |
Compiled |
onnx |
json |
Image Classification |
ResNet50-1 |
ImageNet |
224x224x3 |
4.27 |
25.00 |
BSD 3-Clause |
Top1 |
80.85 |
80.67 |
1186 |
496.01 |
Source |
Compiled |
onnx |
json |
Image Classification |
ResNeXt26_32x4d-1 |
ImageNet |
224x224x3 |
0.83 |
1.25 |
BSD 3-Clause |
Top1 |
75.85 |
75.80 |
828 |
618.10 |
Source |
Compiled |
onnx |
json |
Image Classification |
ResNeXt50-32x4D-1 |
ImageNet |
224x224x3 |
0.36 |
1.24 |
BSD 3-Clause |
Top1 |
81.19 |
81.04 |
496 |
354.69 |
Source |
Compiled |
onnx |
json |
Image Classification |
SqueezeNet1_0-1 |
ImageNet |
224x224x3 |
7.63 |
132.86 |
BSD 3-Clause |
Top1 |
58.09 |
57.88 |
2162 |
1606.71 |
Source |
Compiled |
onnx |
json |
Image Classification |
SqueezeNet1_1-1 |
ImageNet |
224x224x3 |
7.63 |
132.86 |
BSD 3-Clause |
Top1 |
58.18 |
58.09 |
3353 |
4315.65 |
Source |
Compiled |
onnx |
json |
Image Classification |
VGG11-1 |
ImageNet |
224x224x3 |
11.34 |
133.05 |
BSD 3-Clause |
Top1 |
69.03 |
68.86 |
308 |
245.68 |
Source |
Compiled |
onnx |
json |
Image Classification |
VGG11BN-1 |
ImageNet |
224x224x3 |
11.34 |
133.05 |
BSD 3-Clause |
Top1 |
70.37 |
70.16 |
310 |
251.78 |
Source |
Compiled |
onnx |
json |
Image Classification |
VGG13-1 |
ImageNet |
224x224x3 |
19.69 |
143.67 |
BSD 3-Clause |
Top1 |
69.93 |
69.77 |
281 |
172.87 |
Source |
Compiled |
onnx |
json |
Image Classification |
VGG13BN-1 |
ImageNet |
224x224x3 |
22.81 |
126.82 |
BSD 3-Clause |
Top1 |
71.55 |
71.52 |
281 |
192.00 |
Source |
Compiled |
onnx |
json |
Image Classification |
VGG19BN-1 |
ImageNet |
224x224x3 |
11.43 |
68.85 |
BSD 3-Clause |
Top1 |
74.24 |
74.11 |
247 |
130.48 |
Source |
Compiled |
onnx |
json |
Image Classification |
WideResNet101-2 |
VOC2007Detection |
300x300x3 |
1.55 |
9.48 |
MIT |
mAP50 |
82.52 |
82.32 |
279 |
101.07 |
Source |
Compiled |
onnx |
json |
Image Classification |
WideResNet50-2 |
VOC2007Detection |
300x300x3 |
0.7 |
3.38 |
MIT |
mAP50 |
81.61 |
81.45 |
494 |
193.83 |
Source |
Compiled |
onnx |
json |
Object Detection
Task | Name | Dataset | Input Resolution | Operations | Parameters | License | Metric | Raw Accuracy | NPU Accuracy | FPS | FPS/W | Source | Compiled | onnx | json |
Object Detection |
SSDMV1-1 |
COCO |
640x640x3 |
81.13 |
62.02 |
AGPL-3.0 |
mAP50 |
67.59 |
67.674 |
1904 |
1306.38 |
Source |
Compiled |
onnx |
json |
Object Detection |
SSDMV2Lite-1 |
COCO |
640x640x3 |
57.1 |
46.64 |
GPL-3.0 |
mAP50 |
68.70 |
68.65 |
1661 |
1624.80 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOV3-1 |
COCO |
640x640x3 |
26.07 |
21.27 |
AGPL-3.0 |
mAP50 |
66.05 |
65.87 |
100 |
27.19 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOV5L-1 |
COCO |
640x640x3 |
2.71 |
1.97 |
AGPL-3.0 |
mAP50 |
67.17 |
67.09 |
148 |
77.71 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOV5M-1 |
COCO |
640x640x3 |
9.1 |
7.33 |
AGPL-3.0 |
mAP50 |
64.14 |
64.02 |
230 |
77.71 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOV5N-1 |
COCO |
640x640x3 |
55.28 |
36.92 |
GPL-3.0 |
mAP50 |
46.13 |
45.63 |
363 |
560.43 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOV5S-1 |
COCO |
1280x1280x3 |
269.21 |
97.27 |
GPL-3.0 |
mAP50 |
57.08 |
56.99 |
366 |
217.17 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOV7-2 |
COCO |
640x640x3 |
7.01 |
6.24 |
GPL-3.0 |
mAP50 |
69.64 |
69.62 |
117 |
38.74 |
Source |
Compiled |
onnx |
jtson |
Object Detection |
YOLOV7E6-1 |
COCO |
640x640x3 |
85.13 |
43.69 |
AGPL-3.0 |
mAP50 |
73.46 |
73.29 |
22 |
7.56 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOV7Tiny-1 |
COCO |
640x640x3 |
53.92 |
25.31 |
AGPL-3.0 |
mAP50 |
55.42 |
55.17 |
376 |
246.78 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOV8L-1 |
COCO |
640x640x3 |
14.51 |
7.13 |
AGPL-3.0 |
mAP50 |
69.78 |
69.48 |
96 |
25.20 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOv9-C-2 |
COCO |
640x640x3 |
25.84 |
22 |
GPL-3.0 |
AP(Easy) |
70.05 |
69.73 |
100 |
38.64 |
Source |
Compiled |
onnx |
json |
Object Detection |
YOLOXS-1 |
WiderFace |
640x640x3 |
8.53 |
8.07 |
GPL-3.0 |
AP(Easy) |
59.31 |
59.21 |
405 |
142.02 |
Source |
Compiled |
onnx |
json |
Segmentation
Task | Name | Dataset | Input Resolution | Operations | Parameters | License | Metric | Raw Accuracy | NPU Accuracy | FPS | FPS/W | Source | Compiled | onnx | json |
Segmentation |
BiSeNetV1-1 |
WiderFace |
640x640x3 |
8.53 |
8.07 |
GPL-3.0 |
AP(Medium) |
75.37 |
74.17 |
15 |
15.31 |
Source |
Compiled |
onnx |
json |
Segmentation |
BiSeNetV2-1 |
WiderFace |
640x640x3 |
8.53 |
8.07 |
GPL-3.0 |
AP(Hard) |
74.93 |
74.11 |
31 |
19.58 |
Source |
Compiled |
onnx |
json |
Segmentation |
DeepLabV3PlusMobilenet-1 |
WiderFace |
640x640x3 |
54.63 |
38.55 |
GPL-3.0 |
AP(Medium) |
68.47 |
68.11 |
223 |
75.85 |
Source |
Compiled |
onnx |
json |
Face ID
Image De-nosing