gemma-4-12b-it-qat on RTX 5090 (32GB)
MeasuredOn 2026-10-22, gemma-4-12b-it-qat Q4_0 ran at 130.6 tok/s (long-context-decay) on an RTX 5090 (32GB) with llama.cpp. Run r_9suyze4n7lx.
Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| long-context-decay | llama.cpp@8931 (9725a313b) | gemma-4-12b-it-qatQ4_0 | 130.6tok/s | 5,881.5tok/s | 4,059ms | 7.5ms | 7.8ms |
Long-context results
gemma-4-12b-it-qat · llama.cpp. The workload overview shows the smallest successful point. This table exposes every reported target, including unsuccessful or missing measurements.
Targets estimate tokens from character count. Actual prompt tokens come from the runtime; neither is the configured context capacity. “—” means unmeasured or unavailable.
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| Estimated target | Actual prompt tokens | First token (s) | Decode tok/s | Output tokens | Status |
|---|---|---|---|---|---|
| 32,000 | 23,872 | 4.059 | 130.56 | 98 | measured |
| 64,000 | 47,652 | 8.674 | 127.19 | 100 | measured |
| 128,000 | 95,212 | 21.502 | 117.59 | 96 | measured |
First-token delay includes processing the prompt with the model loaded. These speed measurements do not test answer quality or the maximum usable context.
Part of the Gemma 4 RTX 5090 long-context study: see the October 22 rerun measured by llm-speed, the September 6 community-submitted runs, observed ranges and the 131,072-context server configuration.
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https://llm-speed.com/r/r_9suyze4n7lxRelated benchmarks
- More gemma-4-12b-it-qat benchmarks — every backend and rig that has run this model.
- More RTX 5090 (32GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_9suyze4n7lx
- Fingerprint hash
- Public key
- mLDdSveAPeZVWmfptNPVY67tsS5o+bU1XXfKoJ/Kju4=
- Received
- 2026-10-22 06:09:26