NVIDIA · GPU · Results: 26Q3, recorded 2026-09-23
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP32 | 519.39 |
| MobileNetV3 | BF16 | 286.27 |
| Flan-T5 Small | FP32 | 719.53 |
| Flan-T5 Small | BF16 | 370.23 |
| DistilGPT2 | FP32 | 631.55 |
| DistilGPT2 | BF16 | 332.21 |
| DistilBERT | FP32 | 904.77 |
| DistilBERT | BF16 | 712.64 |
| GraphGPS (Peptides) | FP32 | 258.77 |
| GraphGPS (Peptides) | BF16 | 261.32 |
| Model | Precision | Sustained |
|---|---|---|
| MobileNetV3 | FP16 | 2037.51 |
| MobileNetV3 | INT8 | 549.91 |
| Flan-T5 Small | FP16 | 1813.09 |
| Flan-T5 Small | INT8 | 1025.50 |
| Flan-T5 Small | FP8 | 1151.56 |
| DistilGPT2 | FP16 | 1043.89 |
| DistilGPT2 | INT8 | 607.13 |
| DistilGPT2 | FP8 | 693.96 |
| DistilBERT | FP16 | 1455.26 |
| DistilBERT | INT8 | 855.49 |
| DistilBERT | FP8 | 994.43 |
| GraphGPS (Peptides) | FP16 | 509.96 |
| GraphGPS (Peptides) | INT8 | 284.01 |
| GraphGPS (Peptides) | FP8 | 271.43 |
| Model | Precision | Sustained |
|---|---|---|
| Dense MatMul | FP32 | 324.34 |
| Dense MatMul | FP16 | 406.02 |
| Dense MatMul | BF16 | 424.43 |
| Dense MatMul | FP64 | 10.12 |
| Sparse MatMul | FP32 | 275.51 |
| Sparse MatMul | FP64 | 193.19 |
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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