DX Model Zoo

Image Classification

TaskNameDatasetInput ResolutionOperationsParametersLicenseMetricRaw AccuracyNPU AccuracyFPSFPS/WSourceCompiledonnxjson
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

TaskNameDatasetInput ResolutionOperationsParametersLicenseMetricRaw AccuracyNPU AccuracyFPSFPS/WSourceCompiledonnxjson
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 37.50 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 json
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

TaskNameDatasetInput ResolutionOperationsParametersLicenseMetricRaw AccuracyNPU AccuracyFPSFPS/WSourceCompiledonnxjson
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

TaskNameDatasetInput ResolutionOperationsParametersLicenseMetricRaw AccuracyNPU AccuracyFPSFPS/WSourceCompiledonnxjson
Face ID YOLOV5M_Face-1 WiderFace 960x960x3 100.21 74.44 GPL-3.0 AP(Easy) 95.51 95.44 212 73.84 Source Compiled onnx json
AP(Medium) 94.03 93.95
AP(Hard) 85.64 85.66
Face ID YOLOV5S_Face-1 WiderFace 960x960x3 100.21 74.44 GPL-3.0 AP(Easy) 94.57 94.64 368 226.57 Source Compiled onnx json
AP(Medium) 95.09 93.00
AP(Hard) 83.69 83.83
Face ID YOLOV7_Face-1 WiderFace 960x960x3 100.21 74.44 GPL-3.0 AP(Easy) 96.93 96.97 122 39.03 Source Compiled onnx json
AP(Medium) 95.69 95.72
AP(Hard) 88.34 88.29
Face ID YOLOV7_W6_Face-1 WiderFace 1280x1280x3 178.16 77.96 GPL-3.0 AP(Easy) 96.41 96.44 73 20.93 Source Compiled onnx json
AP(Medium) 95.09 95.13
AP(Hard) 88.61 88.68
Face ID YOLOV7_W6_TTA_Face-1 WiderFace 1280x1280x3 178.16 77.96 GPL-3.0 AP(Easy) 95.89 95.99 40 11.59 Source Compiled onnx json
AP(Medium) 94.93 95.04
AP(Hard) 89.95 90.25
Face ID YOLOV7s_Face-1 WiderFace 1280x1280x3 178.16 77.96 GPL-3.0 AP(Easy) 94.86 94.89 295 184.46 Source Compiled onnx json
AP(Medium) 93.30 93.25
AP(Hard) 85.30 85.23

Image De-nosing

TaskNameDatasetInput ResolutionOperationsParametersLicenseMetricRaw AccuracyNPU AccuracyFPSFPS/WSourceCompiledonnxjson
Image De-nosing DnCNN-2 WiderFace 640x640x3 9.35 6.26 GPL-3.0 PSNR 31.71 31.29 62 13.64 Source Compiled onnx json
SSIM 0.89 0.88
Image De-nosing DnCNN-3 WiderFace 640x640x3 9.35 6.26 GPL-3.0 PSNR 29.19 28.57 62 13.81 Source Compiled onnx json
SSIM 0.83 0.81
Image De-nosing DnCNN-4 WiderFace 640x640x3 9.35 6.26 GPL-3.0 PSNR 26.19 24.66 62 13.35 Source Compiled onnx json
SSIM 0.72 0.67
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