Arao AI
Back to search results

Qwen3.6-27B · IQ4_XS

Start a discussion
Apple M5 Max128GBOllama v0.32L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.6-27B (IQ4_XS) on Apple M5 Max with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

48.58 tok/s

Decode

Decode speed

245.06 tok/s

Prefill

Prefill speed

0.78 s

TTFT

Time to first token

44.06 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. llama.cpp · IQ1_S Decode 83.43 · Prefill 309.76 ·
  2. Ollama · IQ4_XS (current)Decode 48.58 · Prefill 245.06 ·

Core figures

Decode (avg)
48.58 tok/s
Prefill (avg)
245.06 tok/s
TTFT (avg)
0.78 s
VRAM (avg)
44.06 GB
MTP acceptance rate
—
TTFB
0.39 GB
Power draw
49 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.6-27B
Quantization
IQ4_XS
Framework
Ollama
Version
v0.32
Context length
32768 tokens
Batch size
256
GPU layers
20
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
Apple M5 Max
Nominal VRAM
128 GB
Measured VRAM (avg)
44.06 GB
OS
macOS 26.1
Power draw
49 W

Get started

Original model resources

Base model resources may not match this quantization. Use the verified deployment weights above when available.

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.32 · macOS 26.1 · 32768 ctx

    48.58 tok/s

    Decode

    245.06 tok/s

    Prefill

    0.78 s

    TTFT

    44.06 GB

    VRAM

    —

    MTP

    49 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=28 running model_id=6 at IQ4_XS