Arao AI
Back to search results

Qwen3-8B · Q4_K_S

Start a discussion
Apple M5 Pro64GBOllama v0.53L2 Cross-framework verified

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

116.66 tok/s

Decode

Decode speed

579.89 tok/s

Prefill

Prefill speed

0.77 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

5 days ago

Last verified

Performance

  1. Ollama · IQ1_S Decode 187.29 · Prefill 770.8 ·
  2. Ollama · Q4_K_S (current)Decode 116.66 · Prefill 579.89 ·
  3. Strata · Q3_K_L Decode 212.69 · Prefill 1110.56 ·

Core figures

Decode (avg)
116.66 tok/s
Prefill (avg)
579.89 tok/s
TTFT (avg)
0.77 s
VRAM (avg)
15.2 GB
MTP acceptance rate
—
TTFB
0.93 GB
Power draw
69.5 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
Q4_K_S
Framework
Ollama
Version
v0.53
Context length
2048 tokens
Batch size
256
GPU layers
20
Flash Attention
Off

Hardware

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

GPU
Apple M5 Pro
Nominal VRAM
64 GB
Measured VRAM (avg)
15.2 GB
OS
macOS 15.0
Driver
Apple M5 Pro
CUDA
N/A
Power draw
69.5 W

Sources & evidence

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

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

    v0.53 · macOS 15.0 · CUDA N/A · 2048 ctx

    116.66 tok/s

    Decode

    579.89 tok/s

    Prefill

    0.77 s

    TTFT

    15.2 GB

    VRAM

    —

    MTP

    69.5 W

    Power draw

    L2 batch seed 2026-10-13: Ollama on hw_id=27 running model_id=53 at Q4_K_S