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Oct 15, 2025
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[moe training] update benchmarks using more reliable b200 gpu #3174

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33 changes: 17 additions & 16 deletions torchao/prototype/moe_training/README.md
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Expand Up @@ -159,22 +159,23 @@ CUDA_VISIBLE_DEVICES=6 python benchmarks/prototype/moe_training/bench_moe_layer.

### Individual bfloat16 torch._grouped_mm op vs torchao_scaled_grouped_mm

MXFP8:

| M,N,K,G | bf16_fwd_bwd_us | scaled_fwd_bwd_us | scaled_fwd_bwd_speedup |
|------------------------|-----------------|-------------------|------------------------|
| (128000, 8192, 5120, 1) | 40463 | 24406 | 1.658x |
| (128000, 8192, 5120, 2) | 35494.5 | 24705.1 | 1.437x |
| (128000, 8192, 5120, 4) | 38879.3 | 24508.5 | 1.586x |
| (128000, 8192, 5120, 8) | 35714.6 | 25937.6 | 1.377x |
| (128000, 1536, 5120, 1) | 6353.06 | 7401.54 | 0.858x |
| (128000, 1536, 5120, 2) | 6511.65 | 6729.33 | 0.968x |
| (128000, 1536, 5120, 4) | 6455.2 | 6626.5 | 0.974x |
| (128000, 1536, 5120, 8) | 7716.13 | 6516.74 | 1.184x |
| (128000, 2048, 7168, 1) | 11758 | 11255.7 | 1.045x |
| (128000, 2048, 7168, 2) | 15012.9 | 9917.9 | 1.514x |
| (128000, 2048, 7168, 4) | 14904.2 | 10493.8 | 1.42x |
| (128000, 2048, 7168, 8) | 13178 | 9638.38 | 1.367x |
**MXFP8 with Llama4 17b 16e shapes** (with G=1-8 to simulate different degrees of expert parallelism)

| M,N,K,G | bf16_fwd_bwd_us | scaled_fwd_bwd_us | scaled_fwd_bwd_speedup |
| ----------------------- | --------------: | ----------------: | ---------------------: |
| (128000, 8192, 5120, 1) | 43140.20 | 23867.00 | 1.808x |
| (128000, 8192, 5120, 2) | 39487.60 | 23359.00 | 1.690x |
| (128000, 8192, 5120, 4) | 39189.20 | 23945.50 | 1.637x |
| (128000, 8192, 5120, 8) | 37700.70 | 22170.60 | 1.700x |

**MXFP8 with DeepSeekV3** (with G=-8 to simulate different degrees of expert parallelism)

| M,N,K,G | bf16_fwd_bwd_us | scaled_fwd_bwd_us | scaled_fwd_bwd_speedup |
| ----------------------- | --------------: | ----------------: | ---------------------: |
| (128000, 2048, 7168, 1) | 13064.80 | 10996.00 | 1.188x |
| (128000, 2048, 7168, 2) | 14900.20 | 11283.40 | 1.321x |
| (128000, 2048, 7168, 4) | 15823.60 | 9919.36 | 1.595x |
| (128000, 2048, 7168, 8) | 14966.80 | 10397.20 | 1.440x |


To reproduce this benchmark, on a B200 GPU machine, run the following command:
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