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Llama-3.1-8B-Instruct · Q5_K_S

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Apple M5 Ultra512GBllama.cpp v0.41L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (Q5_K_S) on Apple M5 Ultra with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

104.75 tok/s

Decode

Decode speed

395.8 tok/s

Prefill

Prefill speed

1.79 s

TTFT

Time to first token

17.22 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

16 days ago

Last verified

Performance

  1. llama.cpp · Q3_K_S Decode 134.78 · Prefill 545.26 ·
  2. llama.cpp · Q5_K_S (current)Decode 104.75 · Prefill 395.8 ·
  3. Ollama · Q8_0 Decode 65.71 · Prefill 314.08 ·

Core figures

Decode (avg)
104.75 tok/s
Prefill (avg)
395.8 tok/s
TTFT (avg)
1.79 s
VRAM (avg)
17.22 GB
MTP acceptance rate
—
TTFB
0.84 GB
Power draw
100.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3.1-8B-Instruct
Quantization
Q5_K_S
Framework
llama.cpp
Version
v0.41
Context length
2048 tokens
Batch size
256
GPU layers
33
Flash Attention
Off

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)
17.22 GB
OS
macOS 26.1
Power draw
100.9 W

Sources & evidence

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

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

    v0.41 · macOS 26.1 · 2048 ctx

    104.75 tok/s

    Decode

    395.8 tok/s

    Prefill

    1.79 s

    TTFT

    17.22 GB

    VRAM

    —

    MTP

    100.9 W

    Power draw

    L2 batch seed 2026-10-19: llama.cpp on hw_id=29 running model_id=68 at Q5_K_S