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Llama-3.1-8B-Instruct · Q3_K_S

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Apple M5 Max128GBOllama v0.46L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (Q3_K_S) on Apple M5 Max with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

79.81 tok/s

Decode

Decode speed

418 tok/s

Prefill

Prefill speed

2.45 s

TTFT

Time to first token

13.02 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 · IQ2_M Decode 101.46 · Prefill 460.44 ·
  2. llama.cpp · Q3_K_L Decode 81.19 · Prefill 358.64 ·
  3. Ollama · IQ3_XS Decode 82.82 · Prefill 392.75 ·
  4. Ollama · Q3_K_S (current)Decode 79.81 · Prefill 418 ·

Core figures

Decode (avg)
79.81 tok/s
Prefill (avg)
418 tok/s
TTFT (avg)
2.45 s
VRAM (avg)
13.02 GB
MTP acceptance rate
—
TTFB
0.64 GB
Power draw
48.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3.1-8B-Instruct
Quantization
Q3_K_S
Framework
Ollama
Version
v0.46
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 Max
Nominal VRAM
128 GB
Measured VRAM (avg)
13.02 GB
OS
macOS 26.1
Power draw
48.2 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

    v0.46 · macOS 26.1 · 32768 ctx

    79.81 tok/s

    Decode

    418 tok/s

    Prefill

    2.45 s

    TTFT

    13.02 GB

    VRAM

    —

    MTP

    48.2 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=28 running model_id=68 at Q3_K_S