update A30 benchmark

This commit is contained in:
Jia Guo
2022-01-21 08:17:16 +08:00
parent 640d321005
commit 563db8e1d7

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@@ -21,7 +21,7 @@ Besides, we can also use A30 to train deep learning models by its FP16 and TF32
| OS | Ubuntu 16.04.7 LTS | | OS | Ubuntu 16.04.7 LTS |
| Installation | CUDA 11.1, cuDNN 8.0.5 | | Installation | CUDA 11.1, cuDNN 8.0.5 |
| Installation | Python 3.7.10 | | Installation | Python 3.7.10 |
| Installation | PyTorch 1.8.1 (conda) | | Installation | PyTorch 1.9 (conda) |
This server is donated by [AMAX](https://www.amaxchina.com/), many thanks! This server is donated by [AMAX](https://www.amaxchina.com/), many thanks!
@@ -39,20 +39,14 @@ We report training speed in following table, please also note that:
| Dataset | Classes | Backbone | Batch-size | FP16 | TF32 | Samples/sec | | Dataset | Classes | Backbone | Batch-size | FP16 | TF32 | Samples/sec |
| ----------- | ------- | ----------- | ---------- | ---- | ---- | ----------- | | ----------- | ------- | ----------- | ---------- | ---- | ---- | ----------- |
| WebFace600K | 618K | IResNet-50 | 1024 | × | × | ~2110 | | WebFace600K | 618K | IResNet-50 | 1024 | × | × | ~2230 |
| WebFace600K | 618K | IResNet-50 | 1024 | × | √ | ~2250 | | WebFace600K | 618K | IResNet-50 | 1024 | × | √ | ~3200 |
| WebFace600K | 618K | IResNet-50 | 1024 | √ | × | ~2520 | | WebFace600K | 618K | IResNet-50 | 1024 | √ | × | ~3940 |
| WebFace600K | 618K | IResNet-50 | 1024 | √ | √ | ~2640 | | WebFace600K | 618K | IResNet-50 | 1024 | √ | √ | ~4350 |
| WebFace600K | 618K | IResNet-50 | 2048 | √ | √ | ~2910 | | WebFace600K | 618K | IResNet-50 | 2048 | √ | √ | ~5100 |
| WebFace600K | 618K | IResNet-100 | 1024 | √ | √ | ~1680 | | WebFace600K | 618K | IResNet-100 | 1024 | √ | √ | ~2810 |
| WebFace600K | 618K | IResNet-180 | 1024 | √ | √ | ~1030 | | WebFace600K | 618K | IResNet-180 | 1024 | √ | √ | ~1800 |
## Experiments on SCRFD
TODO