Leaderboard/Codestral-22B-v0.1/RTX 5090 (32GB)/r_4q040m4scic

Codestral-22B-v0.1 on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

Name: Codestral-22B-v0.1 on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
Creator: llm-speed
License: https://creativecommons.org/licenses/by/4.0/
Keywords: LLM benchmark, tokens per second, Codestral-22B-v0.1, RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB, llama.cpp

RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

suite suite-v1

cli 0.0.3

signed0tv44ISLy1…

Embed badgesubmitted Jul 01, 2026

https://llm-speed.com/r/r_4q040m4scic

Workload results

Workload	Backend	Model	decode tok/s	prefill tok/s	TTFT	p50	p95
chat-short	llama.cpp	Codestral-22B-v0.1	93.72tok/s	—	68.6ms	10.6ms	10.7ms
chat-long	llama.cpp	Codestral-22B-v0.1	87.36tok/s	—	849ms	11.4ms	11.5ms
concurrent-decode	llama.cpp	Codestral-22B-v0.1	100.3tok/s	—	—	9.9ms	10.0ms
agent-trace	llama.cpp	Codestral-22B-v0.1	93.44tok/s	10,351.0tok/s	191ms	10.5ms	11.5ms

Reproduce on your machine

Same workload, same model, signed at your rig. The exact command that produced this run:

$ pipx install llm-speed && llm-speed bench --model codestral-22b-v0-1 --workload 'concurrent-decode'

Runs in about a minute. Your number lands on the leaderboard signed and linkable. How it's measured.

Embed this run

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[![llm-speed: 100 tok/s on RTX 5090 (32GB) (Codestral-22B-v0.1)](https://llm-speed.com/badge/r_4q040m4scic.svg)](https://llm-speed.com/r/r_4q040m4scic)

Related benchmarks

More Codestral-22B-v0.1 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_4q040m4scic
Fingerprint hash: 013ca61a09d17996
Public key: 0tv44ISLy10gz6Oc6FJig3eWJVLwso9oKemSM4nicKM=
Received: 2026-07-01 08:24:40