Skip to content
llm-speed

Qwen2.5-7B-Instruct on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortllama.cppQwen2.5-7B-Instruct232.7tok/s37.0ms4.1ms6.5ms
chat-longllama.cppQwen2.5-7B-Instruct232.4tok/s239ms4.3ms4.4ms
concurrent-decodellama.cppQwen2.5-7B-Instruct240.7tok/s4.1ms4.2ms
agent-tracellama.cppQwen2.5-7B-Instruct232.5tok/s38,007.7tok/s57.1ms4.2ms4.5ms

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 qwen2-5-7b-instruct --workload 'concurrent-decode'

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: 241 tok/s on RTX 5090 (32GB) (Qwen2.5-7B-Instruct)
[![llm-speed: 241 tok/s on RTX 5090 (32GB) (Qwen2.5-7B-Instruct)](https://llm-speed.com/badge/r_1shiviswt3d.svg)](https://llm-speed.com/r/r_1shiviswt3d)

Related benchmarks

Provenance

Run ID
r_1shiviswt3d
Fingerprint hash
013ca61a09d17996
Public key
0tv44ISLy10gz6Oc6FJig3eWJVLwso9oKemSM4nicKM=
Received
2026-07-01 08:41:11