Skip to content
llm-speed
← raw run
wrapped·Oct 17, 2026
/r/r_rkyf9wxzw9z
your run

Qwen2.5-Coder-14B-Instruct

on RTX 3090
78.2
tok/sdecode
RTX 3090 (24GB) + AMD EPYC 7282 16-Core Processor (16c) + 126GB
rank in tier
10/14RTX 3090 runstop 71%
best workload
chat-short
where the rig flew
slowest workload
chat-long74.3 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • Qwen3.8-27B on RTX 509075.4 tok/s
  • Qwen3.6-27B on RTX 509075.1 tok/s
  • phi-4-4bit on M3 Ultra74.4 tok/s
share
78.2 tok/s on RTX 3090 running Qwen2.5-Coder-14B-Instruct — top 71% of RTX 3090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_rkyf9wxzw9z
X / TwitterBlueskyMastodonRedditraw run

This is a shareable view of one signed llm-speed suite-suite-v1 run. Numbers are not edited. The raw record has every workload, the public key, and the fingerprint hash.