wrapped·Jul 01, 2026
/r/r_k1u_k1j_1i2your run
phi-4
on RTX 5090
140
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
42/165RTX 5090 runstop 25%
best workload
concurrent-decode
where the rig flew
slowest workload
agent-trace125 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Qwen2.5-7B-Instruct-4bit on M3 Ultra140 tok/s
- Qwen2.5-Coder-7B-Instruct-4bit on M3 Ultra139 tok/s
- Llama-3.1-8B-Instruct-4bit on M3 Ultra130 tok/s