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Qwen3.5-0.8B · Q3_K_M

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Apple M2 ProOllama v0.32L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (Q3_K_M) on Apple M2 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

180.06 tok/s

Decode

Decode speed

719.07 tok/s

Prefill

Prefill speed

1.79 s

TTFT

Time to first token

3.24 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_M (current)Decode 180.06 · Prefill 719.07 ·
  2. Strata · IQ3_S Decode 271.19 · Prefill 1175.39 ·
  3. Strata · Q3_K_L Decode 271.73 · Prefill 1155.68 ·

Core figures

Decode (avg)
180.06 tok/s
Prefill (avg)
719.07 tok/s
TTFT (avg)
1.79 s
VRAM (avg)
3.24 GB
MTP acceptance rate
—
TTFB
1.44 GB
Power draw
22 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
Q3_K_M
Framework
Ollama
Version
v0.32
Context length
16384 tokens
Batch size
512
GPU layers
99
Flash Attention
Off

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)
3.24 GB
OS
macOS 15.0
Driver
Apple M2 Pro
CUDA
N/A
Power draw
22 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

    v0.32 · macOS 15.0 · CUDA N/A · 16384 ctx

    180.06 tok/s

    Decode

    719.07 tok/s

    Prefill

    1.79 s

    TTFT

    3.24 GB

    VRAM

    —

    MTP

    22 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=102 running model_id=51 at Q3_K_M