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Qwen3-8B · Q3_K_M

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Intel Arc B58012GBllama.cpp v0.34L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (Q3_K_M) on Intel Arc B580 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

57.89 tok/s

Decode

Decode speed

216.32 tok/s

Prefill

Prefill speed

0.35 s

TTFT

Time to first token

11.4 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · Q3_K_M (current)Decode 57.89 · Prefill 216.32 ·
  2. vLLM · IQ1_S Decode 82.24 · Prefill 450.81 ·
  3. vLLM · IQ2_XS Decode 78.59 · Prefill 324.5 ·

Core figures

Decode (avg)
57.89 tok/s
Prefill (avg)
216.32 tok/s
TTFT (avg)
0.35 s
VRAM (avg)
11.4 GB
MTP acceptance rate
—
TTFB
0.46 GB
Power draw
238.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
Q3_K_M
Framework
llama.cpp
Version
v0.34
Context length
16384 tokens
Batch size
512
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
Intel Arc B580
Nominal VRAM
12 GB
Measured VRAM (avg)
11.4 GB
OS
Ubuntu 24.04
Driver
Intel Arc 31.0.101.5186
CUDA
12.6
Power draw
238.7 W

Sources & evidence

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

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

    v0.34 · Ubuntu 24.04 · CUDA 12.6 · 16384 ctx

    57.89 tok/s

    Decode

    216.32 tok/s

    Prefill

    0.35 s

    TTFT

    11.4 GB

    VRAM

    —

    MTP

    238.7 W

    Power draw

    L2 batch seed 2026-10-10: llama.cpp on hw_id=94 running model_id=53 at Q3_K_M