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Qwen3.5-9B · Q3_K_M

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Apple M1llama.cpp v0.50L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-9B (Q3_K_M) on Apple M1 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

51.89 tok/s

Decode

Decode speed

170.87 tok/s

Prefill

Prefill speed

0.93 s

TTFT

Time to first token

14.95 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · Q3_K_M (current)Decode 51.89 · Prefill 170.87 ·
  2. Strata · IQ1_S Decode 96.89 · Prefill 527.4 ·

Core figures

Decode (avg)
51.89 tok/s
Prefill (avg)
170.87 tok/s
TTFT (avg)
0.93 s
VRAM (avg)
14.95 GB
MTP acceptance rate
—
TTFB
0.42 GB
Power draw
55.5 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-9B
Quantization
Q3_K_M
Framework
llama.cpp
Version
v0.50
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 M1
Measured VRAM (avg)
14.95 GB
OS
macOS 15.0
Driver
Apple M1
CUDA
N/A
Power draw
55.5 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

    v0.50 · macOS 15.0 · CUDA N/A · 32768 ctx

    51.89 tok/s

    Decode

    170.87 tok/s

    Prefill

    0.93 s

    TTFT

    14.95 GB

    VRAM

    —

    MTP

    55.5 W

    Power draw

    L2 batch seed 2026-10-16: llama.cpp on hw_id=99 running model_id=49 at Q3_K_M