NVIDIA · GPU · Results: 26Q3, recorded 2026-10-16
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP32 | 431.84 |
| MobileNetV3 | BF16 | 210.90 |
| Flan-T5 Small | FP32 | 719.62 |
| Flan-T5 Small | BF16 | 410.10 |
| DistilGPT2 | FP32 | 787.73 |
| DistilGPT2 | BF16 | 433.15 |
| DistilBERT | FP32 | 905.29 |
| DistilBERT | BF16 | 853.29 |
| GraphGPS (Peptides) | FP32 | 255.40 |
| GraphGPS (Peptides) | BF16 | 263.19 |
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP16 | 1853.75 |
| MobileNetV3 | INT8 | 558.19 |
| Flan-T5 Small | FP16 | 2301.17 |
| Flan-T5 Small | INT8 | 820.62 |
| Flan-T5 Small | FP8 | 1161.48 |
| DistilGPT2 | FP16 | 2285.68 |
| DistilGPT2 | INT8 | 920.38 |
| DistilGPT2 | FP8 | 1180.17 |
| DistilBERT | FP16 | 1632.34 |
| DistilBERT | INT8 | 678.29 |
| DistilBERT | FP8 | 820.82 |
| GraphGPS (Peptides) | FP16 | 663.07 |
| GraphGPS (Peptides) | INT8 | 311.92 |
| GraphGPS (Peptides) | FP8 | 335.28 |
| Model | Precision | Sustained |
|---|---|---|
| Dense MatMul | FP32 | 453.31 |
| Dense MatMul | FP16 | 689.31 |
| Dense MatMul | BF16 | 768.57 |
| Dense MatMul | FP64 | 236.33 |
| Sparse MatMul | FP32 | 119.54 |
| Sparse MatMul | FP64 | 218.28 |
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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