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Update README.md
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@andyluo7
andyluo7 authored Jul 14, 2020
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32 changes: 16 additions & 16 deletions AI-Model-Zoo/README.md
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Expand Up @@ -626,24 +626,24 @@ The following table lists the performance number including end-to-end throughput
| No\. | Model | Name | Frequency \(MHz\) | E2E throughput \-fps\(Multi Thread\) |
| ---- | :----------------------------- | :------------------------------------------ | ----------------- | ------------------------------------ |
| 1 | resnet50 | cf_resnet50_imagenet_224_224_7.7G | 247.5 | 802.46 |
| 2 | resnet18 | cf_resnet18_imagenet_224_224_3.65G | 247.5 | 1934.48 |
| 3 | Inception_v1 | cf_inceptionv1_imagenet_224_224_3.16G | 247.5 | 1536.64 |
| 4 | Inception_v2 | cf_inceptionv2_imagenet_224_224_4G | 247.5 | 1313.99 |
| 5 | SqueezeNet | cf_squeeze_imagenet_227_227_0.76G | 247.5 | 3451.05 |
| 2 | resnet18 | cf_resnet18_imagenet_224_224_3.65G | 247.5 | 1934.48 |
| 3 | Inception_v1 | cf_inceptionv1_imagenet_224_224_3.16G | 247.5 | 1536.64 |
| 4 | Inception_v2 | cf_inceptionv2_imagenet_224_224_4G | 247.5 | 1313.99 |
| 5 | SqueezeNet | cf_squeeze_imagenet_227_227_0.76G | 247.5 | 3451.05 |
| 6 | ssd_pedestrian_pruned_0_97 | cf_ssdpedestrian_coco_360_640_0.97_5.9G | 247.5 | 755.24 |
| 7 | refinedet_pruned_0_8 | cf_refinedet_coco_360_480_0.8_25G | 247.5 | 273.79 |
| 8 | refinedet_pruned_0_92 | cf_refinedet_coco_360_480_0.92_10.10G | 247.5 | 574.76 |
| 9 | refinedet_pruned_0_96 | cf_refinedet_coco_360_480_0.96_5.08G | 247.5 | 795.12 |
| 10 | ssd_adas_pruned_0_95 | cf_ssdadas_bdd_360_480_0.95_6.3G | 275 | 882.39 |
| 11 | ssd_traffic_pruned_0_9 | cf_ssdtraffic_360_480_0.9_11.6G | 275 | 626.36 |
| 10 | ssd_adas_pruned_0_95 | cf_ssdadas_bdd_360_480_0.95_6.3G | 247.5 | 818.22 |
| 11 | ssd_traffic_pruned_0_9 | cf_ssdtraffic_360_480_0.9_11.6G | 247.5 | 570.84 |
| 12 | VPGnet_pruned_0_99 | cf_VPGnet_caltechlane_480_640_0.99_2.5G | 275 | 658.99 |
| 13 | FPN | cf_fpn_cityscapes_256_512_8.9G | 247.5 | 552.17 |
| 14 | SP_net | cf_SPnet_aichallenger_224_128_0.54G | 275 | 1706.95 |
| 15 | Openpose_pruned_0_3 | cf_openpose_aichallenger_368_368_0.3_189.7G | 247.5 | 44.37 |
| 16 | densebox_320_320 | cf_densebox_wider_320_320_0.49G | 275 | 2572.69 |
| 17 | densebox_640_360 | cf_densebox_wider_360_640_1.11G | 275 | 1125.09 |
| 14 | SP_net | cf_SPnet_aichallenger_224_128_0.54G | 275 | 1706.95 |
| 15 | Openpose_pruned_0_3 | cf_openpose_aichallenger_368_368_0.3_189.7G | 220 | 39.68 |
| 16 | densebox_320_320 | cf_densebox_wider_320_320_0.49G | 275 | 2572.69 |
| 17 | densebox_640_360 | cf_densebox_wider_360_640_1.11G | 275 | 1125.09 |
| 18 | face_landmark | cf_landmark_celeba_96_72_0.14G | 275 | 12917.20 |
| 19 | reid | cf_reid_market1501_160_80_0.95G | 275 | 5548.10 |
| 19 | reid | cf_reid_market1501_160_80_0.95G | 275 | 5548.10 |
| 20 | multi_task | cf_multitask_bdd_288_512_14.8G | 247.5 | 176.96 |
| 21 | yolov3_bdd | dk_yolov3_bdd_288_512_53.7G | 220 | 100.58 |
| 22 | yolov3_adas_pruned_0_9 | dk_yolov3_cityscapes_256_512_0.9_5.46G | 220 | 771.32 |
Expand All @@ -652,20 +652,20 @@ The following table lists the performance number including end-to-end throughput
| 25 | yolov2_voc_pruned_0_66 | dk_yolov2_voc_448_448_0.66_11.56G | 220 | 547.63 |
| 26 | yolov2_voc_pruned_0_71 | dk_yolov2_voc_448_448_0.71_9.86G | 220 | 639.09 |
| 27 | yolov2_voc_pruned_0_77 | dk_yolov2_voc_448_448_0.77_7.82G | 220 | 770.95 |
| 28 | ResNet20-face | cf_facerec-resnet20_112_96_3.5G | 275 | 1943.44 |
| 28 | ResNet20-face | cf_facerec-resnet20_112_96_3.5G | 275 | 1943.44 |
| 29 | ResNet64-face | cf_facerec-resnet64_112_96_11G | 275 | 736.43 |
| 30 | FPN_Res18_Medical_segmentation | cf_FPN-resnet18_EDD_320_320_45.3G | 247.5 | 139.76 |
| 31 | plate detection | cf_plate-detection_320_320_0.49G | 275 | 5521.41 |
| 32 | Inception_v1 | tf_inceptionv1_imagenet_224_224_3G | 247.5 | 1552.49 |
| 31 | plate detection | cf_plate-detection_320_320_0.49G | 275 | 5521.41 |
| 32 | Inception_v1 | tf_inceptionv1_imagenet_224_224_3G | 247.5 | 1552.49 |
| 33 | resnet_v1_50 | tf_resnetv1_50_imagenet_224_224_6.97G | 247.5 | 882.28 |
| 34 | resnet_v1_101 | tf_resnetv1_101_imagenet_224_224_14.4G | 247.5 | 458.93 |
| 35 | resnet_v1_152 | tf_resnetv1_152_imagenet_224_224_21.83G | 247.5 | 306.47 |
| 36 | vgg_16 | tf_vgg16_imagenet_224_224_30.96G | 247.5 | 229.26 |
| 37 | vgg_19 | tf_vgg19_imagenet_224_224_39.28G | 247.5 | 189.91 |
| 38 | ssd_resnet_50_v1_fpn | tf_ssdresnet50v1_fpn_coco_640_640_178.4G | 220 | 41.84 |
| 38 | ssd_resnet_50_v1_fpn | tf_ssdresnet50v1_fpn_coco_640_640_178.4G | 220 | 41.84 |
| 39 | yolov3_voc | tf_yolov3_voc_416_416_65.63G | 220 | 102.40 |
| 40 | torchvision | resnet50 | 247.5 | 764.57 |
| 41 | torchvision | squeezenet | 247.5 | 2393.23 |
| 41 | torchvision | squeezenet | 247.5 | 2393.23 |


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