llamaperf

Qwen3.8 27B

on AMD Strix Halo 128GB · llama.cpp

Tone: positiveAMD hardware
Oct 3, 2026
Throughput
14.0 t/s gen · 440.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
FP4 (GGUF)

Summary

User reports Qwen3.8-27B FP4 at 14.0 t/s bare decode on an AMD Strix Halo (Radeon 8060S), with prefill at 440 t/s on pp512. Setup is a llama.cpp fork with a Vulkan backend on stock Mesa RADV 26.0.8, greedy, 300 tokens, with no speculative decoding. With an FP4 DFlash2 sidecar and adaptive drafting (n_min 3, n_max 7) the same model reaches 65.6 t/s on structured output and 26.1 on prose, on a short high-power burst (79 °C, 115 W). On the everyday power profile that configuration reads 55.0 t/s on structured output.