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Qwen3-4B-Thinking-2507 · IQ4_XS

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Apple M4 Pro64GBllama.cpp v0.45L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-4B-Thinking-2507 (IQ4_XS) on Apple M4 Pro with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

138.37 tok/s

Decode

Decode speed

661.86 tok/s

Prefill

Prefill speed

0.46 s

TTFT

Time to first token

8.32 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. llama.cpp · IQ4_XS (current)Decode 138.37 · Prefill 661.86 ·
  2. llama.cpp · Q4_K_S Decode 123.54 · Prefill 441.3 ·
  3. Strata · IQ3_XS Decode 218.39 · Prefill 1145.06 ·
  4. Strata · Q3_K_L Decode 206.28 · Prefill 783.16 ·

Core figures

Decode (avg)
138.37 tok/s
Prefill (avg)
661.86 tok/s
TTFT (avg)
0.46 s
VRAM (avg)
8.32 GB
MTP acceptance rate
—
TTFB
1.11 GB
Power draw
40.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-4B-Thinking-2507
Quantization
IQ4_XS
Framework
llama.cpp
Version
v0.45
Context length
8192 tokens
Batch size
512
GPU layers
28
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
Apple M4 Pro
Nominal VRAM
64 GB
Measured VRAM (avg)
8.32 GB
OS
macOS 15.0
Driver
Apple M4 Pro
CUDA
N/A
Power draw
40.3 W

Sources & evidence

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

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

    v0.45 · macOS 15.0 · CUDA N/A · 8192 ctx

    138.37 tok/s

    Decode

    661.86 tok/s

    Prefill

    0.46 s

    TTFT

    8.32 GB

    VRAM

    —

    MTP

    40.3 W

    Power draw

    L2 batch seed 2026-10-13: llama.cpp on hw_id=25 running model_id=57 at IQ4_XS