wrapped·Jul 01, 2026
/r/r_4q040m4scicyour run
Codestral-22B-v0.1
on RTX 5090
93.7
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
59/183RTX 5090 runstop 32%
best workload
chat-short
where the rig flew
slowest workload
chat-long87.4 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Qwen2.5-Coder-14B-Instruct on RTX 409089.9 tok/s
- gemma-2-9b-it-4bit on M3 Ultra89.5 tok/s
- qwen3.6-agent-q6k-ctx128k on M5 Max88.3 tok/s