AMD · GPU · Results: 26Q3, recorded 2026-10-06
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP32 | 80.12 |
| MobileNetV3 | BF16 | 104.50 |
| Flan-T5 Small | FP32 | 1967.35 |
| Flan-T5 Small | BF16 | 1200.09 |
| DistilGPT2 | FP32 | 1860.31 |
| DistilGPT2 | BF16 | 1394.94 |
| DistilBERT | FP32 | 2113.86 |
| DistilBERT | BF16 | 1859.31 |
| GraphGPS (Peptides) | FP32 | 486.15 |
| GraphGPS (Peptides) | BF16 | 376.34 |
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP16 | 1404.76 |
| MobileNetV3 | INT8 | 638.72 |
| Flan-T5 Small | FP16 | 5565.58 |
| Flan-T5 Small | INT8 | 2341.95 |
| Flan-T5 Small | FP8 | 2820.77 |
| DistilGPT2 | FP16 | 5445.98 |
| DistilGPT2 | INT8 | 2428.68 |
| DistilGPT2 | FP8 | 2833.38 |
| DistilBERT | FP16 | 5109.02 |
| DistilBERT | INT8 | 2156.42 |
| DistilBERT | FP8 | 2541.77 |
| GraphGPS (Peptides) | FP16 | 1405.97 |
| GraphGPS (Peptides) | INT8 | 789.04 |
| GraphGPS (Peptides) | FP8 | 837.37 |
| Model | Precision | Sustained |
|---|---|---|
| Dense MatMul | FP32 | 1534.96 |
| Dense MatMul | FP16 | 1944.54 |
| Dense MatMul | BF16 | 2174.56 |
| Dense MatMul | FP64 | 122.13 |
| Sparse MatMul | FP32 | 195.34 |
| Sparse MatMul | FP64 | 280.12 |
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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