wrapped·Jul 01, 2026
/r/r_pnei9cgfzl5your run
Qwen3.6-35B-A3B-Q4_K_M.gguf
on RTX 5090
214
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
35/165RTX 5090 runstop 21%
best workload
chat-short
where the rig flew
slowest workload
—
single-workload run
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- stable-code-instruct-3b-4bit on M3 Ultra192 tok/s
- DeepSeek-Coder-V2-Lite-Instruct-4bit on M3 Ultra168 tok/s
- gpt-oss-20b-MXFP4-Q4 on M3 Ultra153 tok/s