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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_M131.0tok/s599.9tok/s5,238ms7.6ms7.8ms
concurrent-decodeollama@0.31.1deepseek-r1Q4_K_M
agent-traceollama@0.31.1deepseek-r1Q4_K_M132.4tok/s9,612.8tok/s337ms7.5ms7.8ms

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 'agent-trace'

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

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

llm-speed: 132 tok/s on RTX 4090 (24GB) (r1)
[![llm-speed: 132 tok/s on RTX 4090 (24GB) (r1)](https://llm-speed.com/badge/r_2r1p3w9ps7c.svg)](https://llm-speed.com/r/r_2r1p3w9ps7c)

Related benchmarks

Provenance

Run ID
r_2r1p3w9ps7c
Fingerprint hash
Public key
QgNs85UfulKA6yFe38Jr6rGVktsSzNBZnhxPuAR6BHg=
Received
2026-07-02 13:42:24