llamaperf

Qwen3 30B (3B active)

on AMD Strix Halo 128GB · llama.cpp · 49,152 ctx

AMD hardware
Sep 24, 2026
Throughput
58.6 t/s gen · 920.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
Q4_K_M (GGUF)
System RAM
128 GB
VRAM reported
96 GB

Use cases

long-context

Summary

User reports Qwen3 30B-A3B at 58.57 t/s decode and 920 t/s prefill on an AMD Strix Halo 128GB at 12,001 tokens of context. Setup is llama.cpp with the Q4_K_M GGUF over Vulkan, 49,152-token context, 96 GB of the 128 GB LPDDR5X allocated to the iGPU. At 48,001 tokens prefill drops to 254 t/s and decode to 30.06 t/s; at 11 tokens prefill is 122 t/s and decode 88.40 t/s. ROCm gives about 28 percent better prefill while Vulkan gives about 13 percent better decode.