Performance results are evaluated on 4-node cluster configured with Intel(R) Xeon(R) Platinum 8358 Scalable processor. For MiniGO, BERT, ResNet, RNN-T, Intel® End-to-End AI Optimization Kit delivered 13.06x, 10.10x, 10.12x and 11.61x training time speedup respecitvely through E2E optimizations. Please refer to corresponding model link for detailed test dataset and test method.
Noted: Optimized lighter models' accuracy are slightly lower: ResNet -5% accuracy, BERT -1% F1 score, RNN-T -1% WER.
| Model | Training | Accuracy Ratio |
|---|---|---|
| ResNet | 10.12 | -5% |
| BERT | 10.10 | -1% |
| RNN-T | 11.61 | -1% |
| MiniGo | 13.06 | 0% |
