FHE Benchmarking Results - ML Inference (Small Batch - 100)
| Submitter | | Bandwidth | | Quality | | Timing (harness) | | Timing (server) |
|
Keys |
Input |
Result |
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|
|
| Lattica-ai | 2026‑02‑23 16:49:29 | GPU | R | mlp | | 16.5M | 196M | 2.5M | | 0.94 | | 31.52s | 7.1059s | 1.8748s | 200us | 2.6519s | 1.6481s | 5.0716s | 3.5294s | 2.2439s | | | | | | | | | 615ms | | |
| Lattica-ai | 2026‑05‑25 08:42:44 | GPU | R | mlp | | 7.3M | 98M | 1.3M | | 0.94 | | 27.99s | 7.0467s | 1.7335s | 200us | 2.6087s | 1.6324s | 3.1283s | 2.4577s | 1.9247s | | | | | | | | | 215.7ms | | |
| Reference | 2026‑02‑20 03:38:16 | CPU | L | mlp | | 1G | 500.3M | 100.2M | | 0.96 | | 11.42m | 4.1259s | 966.1ms | 3.7ms | 2.0002s | 22.13ms | 3.0613s | 10.76m | 2.5396s | | 10.55m | | | | | | | 10.55m | | |