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rwightman / bench_by_infer.csv
Created March 6, 2021 06:22
PyTorch Bench (1.8, 1.7.1, NGC 21.02, NGC 20.12)
model gpu env cl infer_samples_per_sec infer_step_time infer_batch_size train_samples_per_sec train_step_time train_batch_size param_count img_size
efficientnet_b0 rtx3090 ngc2102 True 7179.22 0.139 512 1628.51 0.609 256 5.29 224
efficientnet_b0 rtx3090 ngc2012 True 6527.77 0.153 512 1504.58 0.654 256 5.29 224
efficientnet_b0 v100_32 ngc2102 True 6496.56 0.154 512 1556.66 0.638 512 5.29 224
efficientnet_b0 rtx3090 1.7.1cu11.0 True 6020.3 0.166 512 1266.03 0.785 512 5.29 224
efficientnet_b0 rtx3090 1.8cu11.1 True 5979.7 0.167 512 1286.76 0.775 512 5.29 224
efficientnet_b0 v100_32 ngc2012 True 5666.05 0.176 512 1459.05 0.676 512 5.29 224
efficientnet_b0 v100_32 1.8cu11.1 True 5529.09 0.181 512 1444.02 0.688 512 5.29 224
efficientnet_b0 v100_32 1.7.1cu11.0 True 5526.07 0.181 512 1425.38 0.691 512 5.29 224
efficientnet_b0 titanrtx ngc2102 True 5118.38 0.195 512 1156.83 0.862 512 5.29 224