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Qwen3.8-9B · IQ3_XS

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Intel Arc B58012GBllama.cpp v0.40L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (IQ3_XS) on Intel Arc B580 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

56.63 tok/s

Decode

Decode speed

277.66 tok/s

Prefill

Prefill speed

1.55 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 · IQ2_XS Decode 61.39 · Prefill 302.91 ·
  2. llama.cpp · IQ3_XS (current)Decode 56.63 · Prefill 277.66 ·
  3. llama.cpp · Q4_K_M Decode — · Prefill — ·

Core figures

Decode (avg)
56.63 tok/s
Prefill (avg)
277.66 tok/s
TTFT (avg)
1.55 s
VRAM (avg)
11.4 GB
MTP acceptance rate
—
TTFB
0.45 GB
Power draw
255.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
IQ3_XS
Framework
llama.cpp
Version
v0.40
Context length
16384 tokens
Batch size
512
GPU layers
20
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
255.3 W

Sources & evidence

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

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

    v0.40 · Ubuntu 24.04 · CUDA 12.6 · 16384 ctx

    56.63 tok/s

    Decode

    277.66 tok/s

    Prefill

    1.55 s

    TTFT

    11.4 GB

    VRAM

    —

    MTP

    255.3 W

    Power draw

    L2 batch seed 2026-10-10: llama.cpp on hw_id=94 running model_id=52 at IQ3_XS