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Qwen3.8-9B · Q3_K_S

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Apple M1 ProOllama v0.44L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (Q3_K_S) on Apple M1 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

67.09 tok/s

Decode

Decode speed

242.11 tok/s

Prefill

Prefill speed

1.5 s

TTFT

Time to first token

14.38 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. vLLM · Q2_K Decode 84.42 · Prefill 354.52 ·
  2. Ollama · IQ2_XS Decode 84.92 · Prefill 307.29 ·
  3. Ollama · Q3_K_S (current)Decode 67.09 · Prefill 242.11 ·

Core figures

Decode (avg)
67.09 tok/s
Prefill (avg)
242.11 tok/s
TTFT (avg)
1.5 s
VRAM (avg)
14.38 GB
MTP acceptance rate
—
TTFB
0.54 GB
Power draw
63.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
Q3_K_S
Framework
Ollama
Version
v0.44
Context length
8192 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 M1 Pro
Measured VRAM (avg)
14.38 GB
OS
macOS 15.0
Driver
Apple M1 Pro
CUDA
N/A
Power draw
63.3 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

    v0.44 · macOS 15.0 · CUDA N/A · 8192 ctx

    67.09 tok/s

    Decode

    242.11 tok/s

    Prefill

    1.5 s

    TTFT

    14.38 GB

    VRAM

    —

    MTP

    63.3 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=100 running model_id=52 at Q3_K_S