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Qwen3.5-9B · IQ3_S

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Apple M5 Max128GBvLLM v0.35L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-9B (IQ3_S) on Apple M5 Max with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

222.48 tok/s

Decode

Decode speed

1,168.2 tok/s

Prefill

Prefill speed

2.41 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

2 days ago

Last verified

Performance

  1. vLLM · IQ3_S (current)Decode 222.48 · Prefill 1168.2 ·
  2. vLLM · Q5_K_S Decode 163.05 · Prefill 700.99 ·
  3. Strata · Q3_K_M Decode 284.27 · Prefill 948.35 ·
  4. vLLM · Q5_K_M Decode 148.01 · Prefill 738.05 ·

Core figures

Decode (avg)
222.48 tok/s
Prefill (avg)
1,168.2 tok/s
TTFT (avg)
2.41 s
VRAM (avg)
14.57 GB
MTP acceptance rate
—
TTFB
1.78 GB
Power draw
244.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-9B
Quantization
IQ3_S
Framework
vLLM
Version
v0.35
Context length
8192 tokens
Batch size
32
GPU layers
999
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)
14.57 GB
OS
Ubuntu 24.04
Driver
565.57
CUDA
12.8
Power draw
244.4 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 · Ubuntu 24.04 · CUDA 12.8 · 8192 ctx

    222.48 tok/s

    Decode

    1,168.2 tok/s

    Prefill

    2.41 s

    TTFT

    14.57 GB

    VRAM

    —

    MTP

    244.4 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=28 running model_id=49 at IQ3_S