Skip to content
llm-speed

r1 on RTX 4090 (24GB) + AMD EPYC 75F3 32-Core Processor (64c) + 504GB

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortollama@0.31.1deepseek-r1Q4_K_M
chat-longollama@0.31.1deepseek-r1Q4_K_M81.09tok/s240.4tok/s13,070ms12.3ms12.7ms
concurrent-decodeollama@0.31.1deepseek-r1Q4_K_M
agent-traceollama@0.31.1deepseek-r1Q4_K_M

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 'deepseek-r1' --workload 'chat-long'

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

Embed this run

Drop the badge into a README, blog post, or signature. Each render is a backlink to the signed result.

llm-speed: 81.1 tok/s on RTX 4090 (24GB) (r1)
[![llm-speed: 81.1 tok/s on RTX 4090 (24GB) (r1)](https://llm-speed.com/badge/r_zrjj-pj93q8.svg)](https://llm-speed.com/r/r_zrjj-pj93q8)

Related benchmarks

Provenance

Run ID
r_zrjj-pj93q8
Fingerprint hash
Public key
FisLG6Z90WKISm7k1tccxqliAjeDcWuF8ItLJV69fuU=
Received
2026-07-02 14:48:45