Intel · GPU · Results: 26Q3, recorded 2026-10-16
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP32 | 8.00 |
| MobileNetV3 | BF16 | 8.88 |
| Flan-T5 Small | FP32 | 21.71 |
| Flan-T5 Small | BF16 | 10.95 |
| DistilGPT2 | FP32 | 22.61 |
| DistilGPT2 | BF16 | 8.78 |
| DistilBERT | FP32 | 27.75 |
| DistilBERT | BF16 | 13.52 |
| GraphGPS (Peptides) | FP32 | 8.58 |
| GraphGPS (Peptides) | BF16 | 3.01 |
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP16 | 44.10 |
| MobileNetV3 | INT8 | 13.06 |
| Flan-T5 Small | FP16 | 41.49 |
| Flan-T5 Small | INT8 | 27.89 |
| Flan-T5 Small | FP8 | 0.00 |
| DistilGPT2 | FP16 | 40.38 |
| DistilGPT2 | INT8 | 21.76 |
| DistilGPT2 | FP8 | 0.28 |
| DistilBERT | FP16 | 35.01 |
| DistilBERT | INT8 | 21.65 |
| DistilBERT | FP8 | 0.20 |
| GraphGPS (Peptides) | FP16 | 15.26 |
| GraphGPS (Peptides) | INT8 | 1.04 |
| GraphGPS (Peptides) | FP8 | 0.00 |
| Model | Precision | Sustained |
|---|---|---|
| Dense MatMul | FP32 | 12.55 |
| Dense MatMul | FP16 | 6.61 |
| Dense MatMul | BF16 | 4.43 |
| Dense MatMul | FP64 | 1.01 |
| Sparse MatMul | FP32 | 116.25 |
| Sparse MatMul | FP64 | 8.54 |
Results: 26Q3 · GT = LynxBenchAI Global Score. Every precision result is sustained throughput under a declared, bounded optimisation budget — no collapsed single number below the category level.
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