wrapped·Sep 06, 2026
/r/r_-lh-vczf7ikyour run
gemma-4-12b-it-qat
on RTX 5090
143
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
41/174RTX 5090 runstop 24%
best workload
long-context-decay
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
- gpt-oss on RTX 4090142 tok/s
- Qwen2.5-7B-Instruct-4bit on M3 Ultra140 tok/s
- qwen2.5-coder on RTX 3090139 tok/s