AMD · GPU · Results: 26Q3, recorded 2026-09-06
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP32 | 39.52 |
| MobileNetV3 | BF16 | 27.50 |
| Flan-T5 Small | FP32 | 24.78 |
| Flan-T5 Small | BF16 | 75.94 |
| DistilGPT2 | FP32 | 13.59 |
| DistilGPT2 | BF16 | 72.63 |
| DistilBERT | FP32 | 15.48 |
| DistilBERT | BF16 | 96.02 |
| GraphGPS (Peptides) | FP32 | 16.90 |
| GraphGPS (Peptides) | BF16 | 16.86 |
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP16 | 83.62 |
| MobileNetV3 | INT8 | 32.33 |
| Flan-T5 Small | FP16 | 433.40 |
| Flan-T5 Small | INT8 | 165.41 |
| Flan-T5 Small | FP8 | 196.70 |
| DistilGPT2 | FP16 | 283.59 |
| DistilGPT2 | INT8 | 149.04 |
| DistilGPT2 | FP8 | 153.38 |
| DistilBERT | FP16 | 241.41 |
| DistilBERT | INT8 | 130.15 |
| DistilBERT | FP8 | 132.06 |
| GraphGPS (Peptides) | FP16 | 72.83 |
| GraphGPS (Peptides) | INT8 | 35.55 |
| GraphGPS (Peptides) | FP8 | 35.86 |
| Model | Precision | Sustained |
|---|---|---|
| Dense MatMul | FP32 | 7.42 |
| Dense MatMul | FP16 | 120.86 |
| Dense MatMul | BF16 | 121.19 |
| Dense MatMul | FP64 | 2.68 |
| Sparse MatMul | FP32 | 210.90 |
| Sparse MatMul | FP64 | 178.55 |
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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