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Qwen3-Embedding-0.6B · IQ4_XS

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NVIDIA RTX 4060 Ti 16GB16GBvLLM v0.55L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-Embedding-0.6B (IQ4_XS) on NVIDIA RTX 4060 Ti 16GB with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

223.15 tok/s

Decode

Decode speed

875.24 tok/s

Prefill

Prefill speed

0.18 s

TTFT

Time to first token

3.03 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 · Q4_K_S Decode 221.58 · Prefill 758 ·
  2. vLLM · IQ4_XS (current)Decode 223.15 · Prefill 875.24 ·

Core figures

Decode (avg)
223.15 tok/s
Prefill (avg)
875.24 tok/s
TTFT (avg)
0.18 s
VRAM (avg)
3.03 GB
MTP acceptance rate
—
TTFB
1.79 GB
Power draw
280.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-Embedding-0.6B
Quantization
IQ4_XS
Framework
vLLM
Version
v0.55
Context length
8192 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
NVIDIA RTX 4060 Ti 16GB
Nominal VRAM
16 GB
Measured VRAM (avg)
3.03 GB
OS
macOS 15.0
Driver
555.85
CUDA
12.6
Power draw
280.7 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

    v0.55 · macOS 15.0 · CUDA 12.6 · 8192 ctx

    223.15 tok/s

    Decode

    875.24 tok/s

    Prefill

    0.18 s

    TTFT

    3.03 GB

    VRAM

    —

    MTP

    280.7 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=3 running model_id=62 at IQ4_XS