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llm-speed

Qwen3.8-27B on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortllama.cpp@1 (9725a31)Qwen3.8-27BQ4_K_M65.43tok/s865.3tok/s132ms15.1ms15.2ms
chat-longllama.cpp@1 (9725a31)Qwen3.8-27BQ4_K_M65.10tok/s3,501.1tok/s909ms15.3ms15.4ms

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 'Qwen3.8-27B' --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: 65.4 tok/s on RTX 5090 (32GB) (Qwen3.8-27B)
[![llm-speed: 65.4 tok/s on RTX 5090 (32GB) (Qwen3.8-27B)](https://llm-speed.com/badge/r_7mod38qsldj.svg)](https://llm-speed.com/r/r_7mod38qsldj)

Related benchmarks

Provenance

Run ID
r_7mod38qsldj
Fingerprint hash
013ca61a09d17996
Public key
0tv44ISLy10gz6Oc6FJig3eWJVLwso9oKemSM4nicKM=
Received
2026-09-05 20:41:27