# Benchmark We compare our results with some other popular frameworks in terms of speed and performance. ### Hardware - 8 NVIDIA Tesla V100 (32G) GPUs - Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz ### Software environment - Python 3.7 - PyTorch 1.4 - CUDA 10.1 - CUDNN 7.6.03 - NCCL 2.4.08 | Model | Dataset | Setting | Framework | Top1 Accuracy | Top5 Accuracy | Mean Accuracy | Iter time | Memory | ckpt & log | | ---------- | ----------- | -------- | ------------- | ------------- | ------------- | ------------- | --------- | ------ | ---------- | | TSN | Kinetics400 | Setting1 | mmaction-lite | | | | | | | | | | | open-mmaction | | | | | | | | | | | HAN | | | | | | | | | | Setting2 | mmaction-lite | | | | | | | | | Sthv1 | Setting1 | mmaction-lite | | | | | | | | | | | open-mmaction | | | | | | | | | | | HAN | | | | | | | | | | Setting2 | mmaction-lite | | | | | | | | TSM | | Setting1 | mmaction-lite | | | | | | | | | | | open-mmaction | | | | | | | | | | | HAN | | | | | | | | | | Setting2 | mmaction-lite | | | | | | | | TIN | | Setting1 | mmaction-lite | | | | | | | | | | | open-mmaction | | | | | | | | | | | HAN | | | | | | | | | | Setting2 | mmaction-lite | | | | | | | | PySlowfast | | Setting1 | mmaction-lite | | | | | | | | | | | open-mmaction | | | | | | | | | | | PySlowfast | | | | | | | | | | Setting2 | mmaction-lite | | | | | | | | R(2+1)D | | Setting1 | mmaction-lite | | | | | | | | | | | open-mmaction | | | | | | | | | | | PySlowfast | | | | | | | | | | Setting2 | mmaction-lite | | | | | | | | R(2+1)D | | Setting1 | mmaction-lite | | | | | | | | | | | open-mmaction | | | | | | | | | | | PySlowfast | | | | | | | | | | Setting2 | mmaction-lite | | | | | | |