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Qwen3.5-27B · Q6_K

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Apple M5 Max128GBOllama v0.30L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-27B (Q6_K) on Apple M5 Max with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

100.18 tok/s

Decode

Decode speed

374.17 tok/s

Prefill

Prefill speed

1.66 s

TTFT

Time to first token

58.8 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · IQ3_XS Decode 171.72 · Prefill 594.08 ·
  2. llama.cpp · Q4_K_S Decode 146.98 · Prefill 610.13 ·
  3. Ollama · Q5_K_M Decode 119.42 · Prefill 542.35 ·
  4. Ollama · Q6_K (current)Decode 100.18 · Prefill 374.17 ·

Core figures

Decode (avg)
100.18 tok/s
Prefill (avg)
374.17 tok/s
TTFT (avg)
1.66 s
VRAM (avg)
58.8 GB
MTP acceptance rate
—
TTFB
0.8 GB
Power draw
236.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-27B
Quantization
Q6_K
Framework
Ollama
Version
v0.30
Context length
32768 tokens
Batch size
512
GPU layers
99
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)
58.8 GB
OS
Ubuntu 22.04
Driver
555.85
CUDA
12.4
Power draw
236.3 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.30 · Ubuntu 22.04 · CUDA 12.4 · 32768 ctx

    100.18 tok/s

    Decode

    374.17 tok/s

    Prefill

    1.66 s

    TTFT

    58.8 GB

    VRAM

    —

    MTP

    236.3 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=28 running model_id=50 at Q6_K