Leaderboard/gemma-4-12b-it-qat/RTX 5090 (32GB)/r_fzn_lluvw14

gemma-4-12b-it-qat on RTX 5090 (32GB)

Name: gemma-4-12b-it-qat on RTX 5090 (32GB)
Creator: llm-speed
License: https://creativecommons.org/licenses/by/4.0/
Keywords: LLM benchmark, tokens per second, gemma-4-12b-it-qat, RTX 5090 (32GB), llama.cpp

MeasuredOn 2026-10-22, gemma-4-12b-it-qat Q4_0 ran at 130.2 tok/s (long-context-decay) on an RTX 5090 (32GB) with llama.cpp. Run r_fzn_lluvw14.

RTX 5090 (32GB)

suite suite-v1

cli 0.0.9

signed9QT6a497YF…

Embed badge@llmspeedsubmitted Oct 22, 2026

https://llm-speed.com/r/r_fzn_lluvw14

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	130.2tok/s	5,891.1tok/s	4,052ms	7.5ms	7.6ms

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.

Scroll the table sideways for all measurements.

Long-context measurements and status for each estimated target.
Estimated target	Actual prompt tokens	First token (s)	Decode tok/s	Output tokens	Status
32,000	23,872	4.052	130.15	98	measured
64,000	47,652	8.698	127.03	100	measured
128,000	95,212	21.566	117.18	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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Match quantization, context capacity, caching and runtime settings for a useful comparison. Duration varies by workload and hardware; the published client may differ from this run's version. How it's measured.

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https://llm-speed.com/r/r_fzn_lluvw14

Related 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_fzn_lluvw14
Fingerprint hash
Public key: 9QT6a497YFDwiBpuhNM454LI+B39OuUPyMDBaDHOqrQ=
Received: 2026-10-22 06:10:11