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Qwen3-8B · Q4_K_S

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Apple M5 Ultra512GBOllama v0.36L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (Q4_K_S) on Apple M5 Ultra with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

102.76 tok/s

Decode

Decode speed

333.29 tok/s

Prefill

Prefill speed

2.31 s

TTFT

Time to first token

15.2 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. llama.cpp · Q4_K_M Decode 102.09 · Prefill 450.54 ·
  2. llama.cpp · Q6_K Decode 73.25 · Prefill 373.92 ·
  3. Ollama · IQ3_XS Decode 108 · Prefill 446.71 ·
  4. Ollama · Q4_K_S (current)Decode 102.76 · Prefill 333.29 ·

Core figures

Decode (avg)
102.76 tok/s
Prefill (avg)
333.29 tok/s
TTFT (avg)
2.31 s
VRAM (avg)
15.2 GB
MTP acceptance rate
—
TTFB
0.82 GB
Power draw
131.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
Q4_K_S
Framework
Ollama
Version
v0.36
Context length
32768 tokens
Batch size
512
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 M5 Ultra
Nominal VRAM
512 GB
Measured VRAM (avg)
15.2 GB
OS
macOS 26.1
Power draw
131.2 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.36 · macOS 26.1 · 32768 ctx

    102.76 tok/s

    Decode

    333.29 tok/s

    Prefill

    2.31 s

    TTFT

    15.2 GB

    VRAM

    —

    MTP

    131.2 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=29 running model_id=53 at Q4_K_S