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Qwen3-1.7B · Q2_K

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Apple M2 Ultrallama.cpp v0.45L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-1.7B (Q2_K) on Apple M2 Ultra with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

247.88 tok/s

Decode

Decode speed

1,258.27 tok/s

Prefill

Prefill speed

0.32 s

TTFT

Time to first token

4.06 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · Q2_K (current)Decode 247.88 · Prefill 1258.27 ·
  2. llama.cpp · Q4_K_M Decode 200.31 · Prefill 817.12 ·
  3. vLLM · IQ4_XS Decode 221.65 · Prefill 888.85 ·
  4. vLLM · Q6_K Decode 162.21 · Prefill 522.8 ·

Core figures

Decode (avg)
247.88 tok/s
Prefill (avg)
1,258.27 tok/s
TTFT (avg)
0.32 s
VRAM (avg)
4.06 GB
MTP acceptance rate
—
TTFB
1.98 GB
Power draw
40.1 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-1.7B
Quantization
Q2_K
Framework
llama.cpp
Version
v0.45
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 M2 Ultra
Measured VRAM (avg)
4.06 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
40.1 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.45 · macOS 15.0 · CUDA N/A · 32768 ctx

    247.88 tok/s

    Decode

    1,258.27 tok/s

    Prefill

    0.32 s

    TTFT

    4.06 GB

    VRAM

    —

    MTP

    40.1 W

    Power draw

    L2 batch seed 2026-10-16: llama.cpp on hw_id=103 running model_id=55 at Q2_K