llama.cpp MTP boosts Strix Halo throughput

This is the kind of win that matters for local LLMs: same model, same hardware, materially better decode speed. On memory-bandwidth-limited APUs like Strix Halo, MTP looks like a real practical lever rather than a lab-only trick.

• –The test uses PR #22673 plus `--spec-type mtp --spec-draft-n-max 3`, so the speedup is tied to an in-flight llama.cpp feature, not a separate runtime
• –The model is large enough to stress local memory bandwidth, which makes the result more interesting than a small-model microbenchmark
• –The reported jump from ~40 tok/s to 60-80 tok/s is meaningful for interactive use, especially for long generations
• –Prompt processing staying flat suggests MTP is helping decode, not the full inference pipeline
• –The post also hints at hardware/backend sensitivity: Vulkan on this setup appears competitive, while ROCm is still being tuned