40 lines
1.7 KiB
Plaintext
40 lines
1.7 KiB
Plaintext
Model,Size_(MB),Top1_Accuracy(%),Top5_Accuracy(%),Parameters(M),Depth,Time_(ms)_per_inference_step_(CPU),Time_(ms)_per_inference_step_(GPU)
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Xception,88,79.0,94.5,22.9,81,109.4,8.1
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VGG16,528,71.3,90.1,138.4,16,69.5,4.2
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VGG19,549,71.3,90.0,143.7,19,84.8,4.4
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ResNet50,98,74.9,92.1,25.6,107,58.2,4.6
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ResNet50V2,98,76.0,93.0,25.6,103,45.6,4.4
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ResNet101,171,76.4,92.8,44.7,209,89.6,5.2
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ResNet101V2,171,77.2,93.8,44.7,205,72.7,5.4
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ResNet152,232,76.6,93.1,60.4,311,127.4,6.5
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ResNet152V2,232,78.0,94.2,60.4,307,107.5,6.6
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InceptionV3,92,77.9,93.7,23.9,189,42.2,6.9
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InceptionResNetV2,215,80.3,95.3,55.9,449,130.2,10.0
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MobileNet,16,70.4,89.5,4.3,55,22.6,3.4
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MobileNetV2,14,71.3,90.1,3.5,105,25.9,3.8
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DenseNet121,33,75.0,92.3,8.1,242,77.1,5.4
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DenseNet169,57,76.2,93.2,14.3,338,96.4,6.3
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DenseNet201,80,77.3,93.6,20.2,402,127.2,6.7
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NASNetMobile,23,74.4,91.9,5.3,389,27.0,6.7
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NASNetLarge,343,82.5,96.0,88.9,533,344.5,20.0
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EfficientNetB0,29,77.1,93.3,5.3,132,46.0,4.9
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EfficientNetB1,31,79.1,94.4,7.9,186,60.2,5.6
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EfficientNetB2,36,80.1,94.9,9.2,186,80.8,6.5
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EfficientNetB3,48,81.6,95.7,12.3,210,140.0,8.8
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EfficientNetB4,75,82.9,96.4,19.5,258,308.3,15.1
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EfficientNetB5,118,83.6,96.7,30.6,312,579.2,25.3
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EfficientNetB6,166,84.0,96.8,43.3,360,958.1,40.4
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EfficientNetB7,256,84.3,97.0,66.7,438,1578.9,61.6
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EfficientNetV2B0,29,78.7,94.3,7.2,,,
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EfficientNetV2B1,34,79.8,95.0,8.2,,,
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EfficientNetV2B2,42,80.5,95.1,10.2,,,
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EfficientNetV2B3,59,82.0,95.8,14.5,,,
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EfficientNetV2S,88,83.9,96.7,21.6,,,
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EfficientNetV2M,220,85.3,97.4,54.4,,,
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EfficientNetV2L,479,85.7,97.5,119.0,,,
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ConvNeXtTiny,109.42,81.3,,28.6,,,
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ConvNeXtSmall,192.29,82.3,,50.2,,,
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ConvNeXtBase,338.58,85.3,,88.5,,,
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ConvNeXtLarge,755.07,86.3,,197.7,,,
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ConvNeXtXLarge,1310,86.7,,350.1,,,
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