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Qwen3.5-9B · Q5_K_M

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Apple M2 ProOllama v0.35L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-9B (Q5_K_M) on Apple M2 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

52.96 tok/s

Decode

Decode speed

269.51 tok/s

Prefill

Prefill speed

0.73 s

TTFT

Time to first token

19.68 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. Ollama · Q3_K_L Decode 72.52 · Prefill 271.12 ·
  2. Ollama · Q5_K_M (current)Decode 52.96 · Prefill 269.51 ·
  3. Strata · Q3_K_M Decode 98.43 · Prefill 413.44 ·
  4. Strata · Q5_K_S Decode 84.64 · Prefill 401.91 ·

Core figures

Decode (avg)
52.96 tok/s
Prefill (avg)
269.51 tok/s
TTFT (avg)
0.73 s
VRAM (avg)
19.68 GB
MTP acceptance rate
—
TTFB
0.42 GB
Power draw
43.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-9B
Quantization
Q5_K_M
Framework
Ollama
Version
v0.35
Context length
8192 tokens
Batch size
256
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 M2 Pro
Measured VRAM (avg)
19.68 GB
OS
macOS 15.0
Driver
Apple M2 Pro
CUDA
N/A
Power draw
43.4 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

    v0.35 · macOS 15.0 · CUDA N/A · 8192 ctx

    52.96 tok/s

    Decode

    269.51 tok/s

    Prefill

    0.73 s

    TTFT

    19.68 GB

    VRAM

    —

    MTP

    43.4 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=102 running model_id=49 at Q5_K_M