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The performance metrics for the four MLPerf Training benchmarks on a single server are described in Table 8.
Component | Image Classification (Resnet50) | NLP (BERT-large) | Object detection, heavy weight (Mask R-CNN) | Image segmentation (3D U-Net) |
XE8545 (GPU Building Block 1) | 56.326 | 38.855 | 83.774 | 55.999 |
R750xa (GPU Building Block 2) | 62.949 | 56.260 | 93.134 | 60.586 |
The results in Table 8 are the training time in minutes for specific MLPerf Training benchmarks, where smaller values are better. The primary difference between the two building blocks is that the XE8545 building block has 400 W SXM4 GPUs and the R750xa has 300 W PCIe GPUs. The full MLPerf results are available at MLCommons results page.