wrapped·Sep 05, 2026
/r/r_8xmm65n1fhqyour run
gemma-4-12b-it-qat
on RTX 5090
137
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
46/171RTX 5090 runstop 27%
best workload
chat-short
where the rig flew
slowest workload
chat-long136 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- llama3.1 on RTX 3090136 tok/s
- r1 on RTX 4090134 tok/s
- Llama-3.1-8B-Instruct-4bit on M3 Ultra130 tok/s