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Qwen3-4B · Q8_0

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Apple M1llama.cpp v0.44L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-4B (Q8_0) on Apple M1 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

36.81 tok/s

Decode

Decode speed

167.78 tok/s

Prefill

Prefill speed

0.92 s

TTFT

Time to first token

11.76 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_L Decode 65.56 · Prefill 344.27 ·
  2. llama.cpp · Q8_0 (current)Decode 36.81 · Prefill 167.78 ·
  3. Ollama · Q2_K Decode 72.5 · Prefill 393.97 ·

Core figures

Decode (avg)
36.81 tok/s
Prefill (avg)
167.78 tok/s
TTFT (avg)
0.92 s
VRAM (avg)
11.76 GB
MTP acceptance rate
—
TTFB
0.29 GB
Power draw
21.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-4B
Quantization
Q8_0
Framework
llama.cpp
Version
v0.44
Context length
16384 tokens
Batch size
256
GPU layers
99
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)
11.76 GB
OS
macOS 15.0
Driver
Apple M1
CUDA
N/A
Power draw
21.9 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 · 16384 ctx

    36.81 tok/s

    Decode

    167.78 tok/s

    Prefill

    0.92 s

    TTFT

    11.76 GB

    VRAM

    —

    MTP

    21.9 W

    Power draw

    L2 batch seed 2026-10-16: llama.cpp on hw_id=99 running model_id=54 at Q8_0