Skip to content
llm-speed

gemma-4-12b-it-qat on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

MeasuredOn 2026-09-05, gemma-4-12b-it-qat Q4_0 ran at 137.3 tok/s (chat-short) on an RTX 5090 (32GB) with llama.cpp. Run r_8xmm65n1fhq.

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortllama.cpp@1 (9725a31)gemma-4-12b-it-qatQ4_0137.3tok/s2,316.4tok/s52.2ms7.1ms7.4ms
chat-longllama.cpp@1 (9725a31)gemma-4-12b-it-qatQ4_0135.6tok/s5,523.3tok/s577ms7.4ms7.4ms

Reproduce on your machine

Start with this model and workload selection. This command does not capture the original artifact, backend version or server settings:

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.

Share this run

Copy the short link, a Reddit-ready summary, or a README badge. Every number is the measured result on this page, and each badge links back to it.

llm-speed: 137.3 tok/s on RTX 5090 (32GB) (gemma-4-12b-it-qat)
https://llm-speed.com/r/r_8xmm65n1fhq

Related benchmarks

Provenance

Run ID
r_8xmm65n1fhq
Fingerprint hash
013ca61a09d17996
Public key
0tv44ISLy10gz6Oc6FJig3eWJVLwso9oKemSM4nicKM=
Received
2026-09-05 20:43:41