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Qwen3.6-27B · IQ2_M

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Apple M4 Max128GBllama.cpp v0.30L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.6-27B (IQ2_M) on Apple M4 Max with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

189.88 tok/s

Decode

Decode speed

951.61 tok/s

Prefill

Prefill speed

0.37 s

TTFT

Time to first token

31.58 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · IQ2_M (current)Decode 189.88 · Prefill 951.61 ·
  2. llama.cpp · IQ2_XS Decode 191.16 · Prefill 1032.54 ·
  3. vLLM · Q3_K_M Decode 174.24 · Prefill 673.46 ·
  4. Ollama · Q6_K Decode 99.52 · Prefill 397.09 ·

Core figures

Decode (avg)
189.88 tok/s
Prefill (avg)
951.61 tok/s
TTFT (avg)
0.37 s
VRAM (avg)
31.58 GB
MTP acceptance rate
—
TTFB
1.52 GB
Power draw
54.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.6-27B
Quantization
IQ2_M
Framework
llama.cpp
Version
v0.30
Context length
4096 tokens
Batch size
512
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 M4 Max
Nominal VRAM
128 GB
Measured VRAM (avg)
31.58 GB
OS
macOS 15.0
Driver
Apple M4 Max
CUDA
N/A
Power draw
54.9 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 2026-10-10

    v0.30 · macOS 15.0 · CUDA N/A · 4096 ctx

    189.88 tok/s

    Decode

    951.61 tok/s

    Prefill

    0.37 s

    TTFT

    31.58 GB

    VRAM

    —

    MTP

    54.9 W

    Power draw

    L2 batch seed 2026-10-10: llama.cpp on hw_id=26 running model_id=6 at IQ2_M