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Qwen3.5-27B · IQ2_M

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Apple M5 Max128GBOllama v0.50L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-27B (IQ2_M) on Apple M5 Max with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

64.33 tok/s

Decode

Decode speed

209.5 tok/s

Prefill

Prefill speed

0.89 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

16 days ago

Last verified

Performance

  1. llama.cpp · Q2_K Decode 65.62 · Prefill 279.34 ·
  2. Ollama · IQ2_M (current)Decode 64.33 · Prefill 209.5 ·
  3. Ollama · IQ3_XS Decode 62.24 · Prefill 282.1 ·
  4. llama.cpp · IQ3_XS Decode 171.72 · Prefill 594.08 ·
  5. llama.cpp · Q4_K_S Decode 146.98 · Prefill 610.13 ·
  6. Ollama · Q5_K_M Decode 119.42 · Prefill 542.35 ·
  7. Ollama · Q6_K Decode 100.18 · Prefill 374.17 ·

Core figures

Decode (avg)
64.33 tok/s
Prefill (avg)
209.5 tok/s
TTFT (avg)
0.89 s
VRAM (avg)
31.58 GB
MTP acceptance rate
—
TTFB
0.51 GB
Power draw
64.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-27B
Quantization
IQ2_M
Framework
Ollama
Version
v0.50
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 M5 Max
Nominal VRAM
128 GB
Measured VRAM (avg)
31.58 GB
OS
macOS 26.1
Power draw
64.2 W

Sources & evidence

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

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

    v0.50 · macOS 26.1 · 4096 ctx

    64.33 tok/s

    Decode

    209.5 tok/s

    Prefill

    0.89 s

    TTFT

    31.58 GB

    VRAM

    —

    MTP

    64.2 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=28 running model_id=50 at IQ2_M