llamaperf

Qwen3.8 27B

on AMD Strix Halo 128GB · llama.cpp · 65,536 ctx

Tone: positiveAMD hardware
Sep 7, 2026
Throughput
31.4 t/s gen · 300.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
Q5_K_XL (GGUF)
KV cache
F16
System RAM
128 GB

Summary

User reports a dense 27B model on a Strix Halo APU, with a DFlash2 drafter giving +40% decode over MTP. Setup is Nathan's Vulkan fork of llama.cpp, with Q5_K_XL decoding faster than Q4_K_XL due to higher draft acceptance. Prefill is ~300 t/s at 3k context. FP4 builds are slower and worse quality.