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Qwen3-4B · FP16

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Apple M2 ProvLLM v0.44L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-4B (FP16) on Apple M2 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

48.46 tok/s

Decode

Decode speed

199.81 tok/s

Prefill

Prefill speed

1.81 s

TTFT

Time to first token

17.64 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. vLLM · FP16 (current)Decode 48.46 · Prefill 199.81 ·
  2. vLLM · Q6_K Decode 72.96 · Prefill 295.88 ·
  3. Strata · FP16 Decode 65.24 · Prefill 265.48 ·

Core figures

Decode (avg)
48.46 tok/s
Prefill (avg)
199.81 tok/s
TTFT (avg)
1.81 s
VRAM (avg)
17.64 GB
MTP acceptance rate
—
TTFB
0.39 GB
Power draw
30.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-4B
Quantization
FP16
Framework
vLLM
Version
v0.44
Context length
32768 tokens
Batch size
16
GPU layers
999
Flash Attention
On

Hardware

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

GPU
Apple M2 Pro
Measured VRAM (avg)
17.64 GB
OS
macOS 15.0
Driver
Apple M2 Pro
CUDA
N/A
Power draw
30.3 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

    v0.44 · macOS 15.0 · CUDA N/A · 32768 ctx

    48.46 tok/s

    Decode

    199.81 tok/s

    Prefill

    1.81 s

    TTFT

    17.64 GB

    VRAM

    —

    MTP

    30.3 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=102 running model_id=54 at FP16