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a100-benchmarks.csv

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+task,model,GPU,batch size,with torch.compile,without torch.compile
+image classification,ViT,A100,1,7.584,9.325
+image classification,BeiT,A100,1,8.448,11.282
+image classification,ConvNeXT,A100,1,10.208,10.41
+image classification,ResNet,A100,1,4.124,6.531
+object detection,DETR,A100,1,19.04,34.619
+object detection,OwlViT,A100,1,18.42,24.978
+object detection,Resnet-101,A100,1,18.197,36.276
+object detection,Conditional-DETR,A100,1,17.993,31.219
+image segmentation,Segformer,A100,1,10.5,11.759
+image segmentation,Mask2former,A100,1,49.117,60.188
+image segmentation,Maskformer,A100,1,59.487,75.764
+image segmentation,MobileNet,A100,1,3.974,8.583
+image classification,ViT,A100,4,14.499,14.832
+image classification,BeiT,A100,4,13.048,13.205
+image classification,ConvNeXT,A100,4,21.631,22.94
+image classification,ResNet,A100,4,4.268,6.657
+object detection,DETR,A100,4,32.418,48.657
+object detection,Resnet-101,A100,4,44.998,68.101
+object detection,Conditional-DETR,A100,4,35.552,56.47
+image segmentation,Segformer,A100,4,16.476,18.838
+image segmentation,Mask2former,A100,4,61.781,74.277
+image segmentation,Maskformer,A100,4,159.116,180.7
+image segmentation,MobileNet,A100,4,8.515,14.174
+image classification,ViT,A100,16,40.01,40.944
+image classification,BeiT,A100,16,41.048,41.854
+image classification,ConvNeXT,A100,16,75.561,82.258
+image classification,ResNet,A100,16,5.024,7.018
+object detection,DETR,A100,16,161.902,164.382
+object detection,Resnet-101,A100,16,155.021,232.887
+object detection,Conditional-DETR,A100,16,124.032,180.491
+image segmentation,Segformer,A100,16,31.144,37.005
+image segmentation,Mask2former,A100,16,154.814,178.945
+image segmentation,Maskformer,A100,16,579.826,638.57
+image segmentation,MobileNet,A100,16,30.31,51.693

t4-benchmarks.csv

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+task,model,GPU,batch size,with torch.compile,without torch.compile
+image classification,ViT,V100,1,15.786,16.52
+image classification,BeiT,V100,1,15.71,16.464
+image classification,ConvNeXT,V100,1,30.845,32.932
+image classification,ResNet,V100,1,4.321,6.031
+object detection,DETR,V100,1,53.99,73.1
+object detection,OwlViT,V100,1,51.105,53.634
+object detection,Resnet-101,V100,1,82.566,106.622
+object detection,Conditional-DETR,V100,1,56.984,77.594
+image segmentation,Segformer,V100,1,14.205,16.116
+image segmentation,Mask2former,V100,1,66.815,79.192
+image segmentation,Maskformer,V100,1,188.268,200.026
+image segmentation,MobileNet,V100,1,11.997,18.908
+image classification,ViT,V100,4,43.626,43.653
+image classification,BeiT,V100,4,51.354,52.007
+image classification,ConvNeXT,V100,4,105.58,119.259
+image classification,ResNet,V100,4,11.388,13.039
+object detection,DETR,V100,4,268.003,277.85
+object detection,Resnet-101,V100,4,357.614,421.859
+object detection,Conditional-DETR,V100,4,226.945,289.002
+image segmentation,Segformer,V100,4,42.445,45.327
+image segmentation,Mask2former,V100,4,184.67,201.54
+image segmentation,Maskformer,V100,4,711.28,764.052
+image segmentation,MobileNet,V100,4,48.677,74.289
+image classification,ViT,V100,16,160.907,163.914
+image classification,BeiT,V100,16,187.976,188.978
+image classification,ConvNeXT,V100,16,388.078,422.886
+image classification,ResNet,V100,16,37.604,44.114
+object detection,DETR,V100,16,OOM,OOM
+object detection,Resnet-101,V100,16,1262.758,1619.505
+object detection,Conditional-DETR,V100,16,897.39,1137.513
+image segmentation,Segformer,V100,16,163.62,192.412
+image segmentation,Mask2former,V100,16,695.291,756.337
+image segmentation,Maskformer,V100,16,2656.88,2842.94
+image segmentation,MobileNet,V100,16,201.942,299.003

v100-benchmarks.csv

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+task,model,GPU,batch size,with torch.compile,without torch.compile
+image classification,ViT,V100,1,6,10.495
+image classification,BeiT,V100,1,7.234,11.347
+image classification,ConvNeXT,V100,1,10.412,11.623
+image classification,ResNet,V100,1,3.82,6.484
+object detection,DETR,V100,1,19.388,33.951
+object detection,OwlViT,V100,1,22.395,25.769
+object detection,Resnet-101,V100,1,28.367,52.818
+object detection,Conditional-DETR,V100,1,20.816,39.512
+image segmentation,Segformer,V100,1,5.862,13.321
+image segmentation,Mask2former,V100,1,49.873,64.64
+image segmentation,Maskformer,V100,1,72.207,95.532
+image segmentation,MobileNet,V100,1,4.753,9.217
+image classification,ViT,V100,4,14.501,15.181
+image classification,BeiT,V100,4,14.753,15.171
+image classification,ConvNeXT,V100,4,27.085,29.574
+image classification,ResNet,V100,4,4.731,6.109
+object detection,DETR,V100,4,64.195,88.529
+object detection,Resnet-101,V100,4,101.304,134.672
+object detection,Conditional-DETR,V100,4,69.739,97.464
+image segmentation,Segformer,V100,4,16.188,16.787
+image segmentation,Mask2former,V100,4,76.926,90.402
+image segmentation,Maskformer,V100,4,205.456,234.261
+image segmentation,MobileNet,V100,4,14.816,24.623
+image classification,ViT,V100,16,51.633,52.209
+image classification,BeiT,V100,16,53.581,53.938
+image classification,ConvNeXT,V100,16,100.771,109.682
+image classification,ResNet,V100,16,12.089,14.857
+object detection,DETR,V100,16,OOM,OOM
+object detection,Resnet-101,V100,16,361.843,482.425
+object detection,Conditional-DETR,V100,16,255.298,344.661
+image segmentation,Segformer,V100,16,55.499,61.013
+image segmentation,Mask2former,V100,16,222.801,249.605
+image segmentation,Maskformer,V100,16,743.645,831.142
+image segmentation,MobileNet,V100,16,55.365,93.129