wrapped·Jul 01, 2026
/r/r_4q040m4scicyour run
Codestral-22B-v0.1
on RTX 5090
100
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
47/165RTX 5090 runstop 28%
best workload
concurrent-decode
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
- gemma-2-9b-it-4bit on M3 Ultra89.5 tok/s
- Qwen3-Next-80B-A3B-Instruct-MLX-4bit on M3 Ultra80.3 tok/s
- phi-4-4bit on M3 Ultra74.4 tok/s