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Qwen3.8-9B · IQ3_S

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Apple M5 Pro64GBOllama v0.37L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (IQ3_S) on Apple M5 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

136.51 tok/s

Decode

Decode speed

597.98 tok/s

Prefill

Prefill speed

0.13 s

TTFT

Time to first token

14.57 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. vLLM · IQ3_S Decode 158.08 · Prefill 657.93 ·
  2. vLLM · Q2_K Decode 169.33 · Prefill 690.81 ·
  3. Ollama · IQ3_S (current)Decode 136.51 · Prefill 597.98 ·
  4. Ollama · Q3_K_S Decode 144.08 · Prefill 671.77 ·

Core figures

Decode (avg)
136.51 tok/s
Prefill (avg)
597.98 tok/s
TTFT (avg)
0.13 s
VRAM (avg)
14.57 GB
MTP acceptance rate
—
TTFB
1.09 GB
Power draw
39 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
IQ3_S
Framework
Ollama
Version
v0.37
Context length
32768 tokens
Batch size
256
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 Pro
Nominal VRAM
64 GB
Measured VRAM (avg)
14.57 GB
OS
macOS 15.0
Driver
Apple M5 Pro
CUDA
N/A
Power draw
39 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-13

    v0.37 · macOS 15.0 · CUDA N/A · 32768 ctx

    136.51 tok/s

    Decode

    597.98 tok/s

    Prefill

    0.13 s

    TTFT

    14.57 GB

    VRAM

    —

    MTP

    39 W

    Power draw

    L2 batch seed 2026-10-13: Ollama on hw_id=27 running model_id=52 at IQ3_S