llamaperf

Qwen3.8 27B

on M6 32GB · ANEMLL Forge · 96,000 ctx

Tone: positiveApple hardware
Oct 24, 2026
Throughput
27.0 t/s gen · 123.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
INT8
KV cache
INT8
System RAM
32 GB

Summary

User reports Qwen3.8-27B running on the M6 Neural Engine via ANEMLL Forge 0.2.1, with about 27 tok/s decode and 123 tok/s prefill at 96K context on a 32GB M6 Mac Mini. Setup uses an INT8 K/V cache and a smaller drafter sharing the target's output head, with about 21.4 GB total memory at 96K context. Decode varies by content: JSON 35–62 tok/s, code 18–32, prose 10–17. Prefill is 260 tok/s at short context and 62 at 192K, where a smaller prefill batch of 32 rows is used. The user calls 96K the sweet spot for size and speed on 32GB.