Skip to content
llm-speed

gemma3 on RTX 4090 (24GB) + AMD EPYC 7443 24-Core Processor (24c) + 252GB

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortollama@0.31.1gemma3Q4_K_M46.95tok/s144.5tok/s817ms21.3ms21.5ms
chat-longollama@0.31.1gemma3Q4_K_M45.25tok/s1,594.1tok/s1,998ms22.1ms22.2ms
concurrent-decodeollama@0.31.1gemma3Q4_K_M46.17tok/s21.6ms21.8ms
agent-traceollama@0.31.1gemma3Q4_K_M45.33tok/s2,556.8tok/s956ms21.9ms22.2ms

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 'gemma3' --workload 'chat-short'

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: 47.0 tok/s on RTX 4090 (24GB) (gemma3)
[![llm-speed: 47.0 tok/s on RTX 4090 (24GB) (gemma3)](https://llm-speed.com/badge/r_x23y_sg24pm.svg)](https://llm-speed.com/r/r_x23y_sg24pm)

Related benchmarks

Provenance

Run ID
r_x23y_sg24pm
Fingerprint hash
Public key
4vqjsh6uPrInjRqOT8+EBrL9OXGO8kY6tog8LjkXrI8=
Received
2026-07-02 17:00:31