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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_M3.76tok/s14.28tok/s219,986ms291ms305ms
concurrent-decodeollama@0.31.1deepseek-r1Q4_K_M
agent-traceollama@0.31.1deepseek-r1Q4_K_M3.79tok/s3,515.1tok/s971ms290ms306ms

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.

Embed this run

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

llm-speed: 3.8 tok/s on RTX 4090 (24GB) (r1)
[![llm-speed: 3.8 tok/s on RTX 4090 (24GB) (r1)](https://llm-speed.com/badge/r_l2ck67ls40i.svg)](https://llm-speed.com/r/r_l2ck67ls40i)

Related benchmarks

Provenance

Run ID
r_l2ck67ls40i
Fingerprint hash
Public key
oQQrNm/fk5VX39ZntHl36oXUiqKE9w2if5EPbv7+FWM=
Received
2026-07-02 13:58:55