wrapped·Sep 05, 2026
/r/r_c2podhe9qwcyour run
gemma-4-12b-it-qat
on RTX 5090
140
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
45/171RTX 5090 runstop 26%
best workload
chat-short
where the rig flew
slowest workload
chat-long137 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 on RTX 3090139 tok/s
- Qwen2.5-Coder-7B-Instruct-4bit on M3 Ultra139 tok/s
- llama3.1 on RTX 3090136 tok/s