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Qwen3-Embedding-0.6B · IQ3_S

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AMD Radeon RX 9070 GRE12GBllama.cpp v0.39L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-Embedding-0.6B (IQ3_S) on AMD Radeon RX 9070 GRE with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

241.94 tok/s

Decode

Decode speed

776.44 tok/s

Prefill

Prefill speed

1.19 s

TTFT

Time to first token

2.93 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 · IQ3_S (current)Decode 241.94 · Prefill 776.44 ·
  2. llama.cpp · Q2_K Decode 298.41 · Prefill 1440.77 ·

Core figures

Decode (avg)
241.94 tok/s
Prefill (avg)
776.44 tok/s
TTFT (avg)
1.19 s
VRAM (avg)
2.93 GB
MTP acceptance rate
—
TTFB
1.94 GB
Power draw
270.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-Embedding-0.6B
Quantization
IQ3_S
Framework
llama.cpp
Version
v0.39
Context length
16384 tokens
Batch size
256
GPU layers
28
Flash Attention
On

Hardware

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

GPU
AMD Radeon RX 9070 GRE
Nominal VRAM
12 GB
Measured VRAM (avg)
2.93 GB
OS
Ubuntu 22.04
Driver
amdgpu 6.11
CUDA
N/A
Power draw
270.9 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-13

    v0.39 · Ubuntu 22.04 · CUDA N/A · 16384 ctx

    241.94 tok/s

    Decode

    776.44 tok/s

    Prefill

    1.19 s

    TTFT

    2.93 GB

    VRAM

    —

    MTP

    270.9 W

    Power draw

    L2 batch seed 2026-10-13: llama.cpp on hw_id=32 running model_id=62 at IQ3_S