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JETSON_NANO.md

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Name Data Type Input Shapes torch2trt kwargs Max Error Throughput (PyTorch) Throughput (TensorRT) Latency (PyTorch) Latency (TensorRT)
torchvision.models.alexnet.alexnet float16 [(1, 3, 224, 224)] {'fp16_mode': True} 2.29E-05 46.4 69.9 22.1 14.7
torchvision.models.squeezenet.squeezenet1_0 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 1.20E-02 44 137 24.2 7.6
torchvision.models.squeezenet.squeezenet1_1 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 9.77E-04 76.6 248 14 4.34
torchvision.models.resnet.resnet18 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 5.86E-03 29.4 90.2 34.7 11.4
torchvision.models.resnet.resnet34 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 1.56E-01 15.5 50.7 64.8 20.2
torchvision.models.resnet.resnet50 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 6.45E-02 12.4 34.2 81.7 29.8
torchvision.models.resnet.resnet101 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 1.01E+03 7.18 19.9 141 51.1
torchvision.models.resnet.resnet152 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 0.00E+00 4.96 14.1 204 72.3
torchvision.models.densenet.densenet121 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 3.42E-03 11.5 41.9 84.5 24.8
torchvision.models.densenet.densenet169 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 5.86E-03 8.25 33.2 118 31.2
torchvision.models.densenet.densenet201 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 3.42E-03 6.84 25.4 141 40.8
torchvision.models.densenet.densenet161 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 4.15E-03 4.71 15.6 247 65.8
torchvision.models.vgg.vgg11 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 3.51E-04 8.9 18.3 114 55.1
torchvision.models.vgg.vgg13 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 3.07E-04 6.53 14.7 156 68.7
torchvision.models.vgg.vgg16 float16 [(1, 3, 224, 224)] {'fp16_mode': True} 4.58E-04 5.09 11.9 201 85.1
torchvision.models.vgg.vgg11_bn float16 [(1, 3, 224, 224)] {'fp16_mode': True} 3.81E-04 8.74 18.4 117 54.8
torchvision.models.vgg.vgg13_bn float16 [(1, 3, 224, 224)] {'fp16_mode': True} 5.19E-04 6.31 14.8 162 68.5
torchvision.models.vgg.vgg16_bn float16 [(1, 3, 224, 224)] {'fp16_mode': True} 9.77E-04 4.96 12 207 84.3