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Qwen3-1.7B · Q5_K_S

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Apple M5 Pro64GBllama.cpp v0.41L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-1.7B (Q5_K_S) on Apple M5 Pro with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

197.87 tok/s

Decode

Decode speed

839.49 tok/s

Prefill

Prefill speed

1.3 s

TTFT

Time to first token

5.31 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. llama.cpp · IQ2_M Decode 311.55 · Prefill 1641.2 ·
  2. llama.cpp · Q5_K_S (current)Decode 197.87 · Prefill 839.49 ·
  3. vLLM · Q4_K_M Decode 233.37 · Prefill 1190.9 ·
  4. vLLM · Q5_K_S Decode 229.77 · Prefill 936.19 ·

Core figures

Decode (avg)
197.87 tok/s
Prefill (avg)
839.49 tok/s
TTFT (avg)
1.3 s
VRAM (avg)
5.31 GB
MTP acceptance rate
—
TTFB
1.58 GB
Power draw
62.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-1.7B
Quantization
Q5_K_S
Framework
llama.cpp
Version
v0.41
Context length
8192 tokens
Batch size
512
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 Pro
Nominal VRAM
64 GB
Measured VRAM (avg)
5.31 GB
OS
macOS 15.0
Driver
Apple M5 Pro
CUDA
N/A
Power draw
62.7 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

    v0.41 · macOS 15.0 · CUDA N/A · 8192 ctx

    197.87 tok/s

    Decode

    839.49 tok/s

    Prefill

    1.3 s

    TTFT

    5.31 GB

    VRAM

    —

    MTP

    62.7 W

    Power draw

    L2 batch seed 2026-10-13: llama.cpp on hw_id=27 running model_id=55 at Q5_K_S