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Qwen3.8-9B · IQ4_XS

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Intel Arc A770 16GB16GBllama.cpp v0.32L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (IQ4_XS) on Intel Arc A770 16GB with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

48.79 tok/s

Decode

Decode speed

201.84 tok/s

Prefill

Prefill speed

0.8 s

TTFT

Time to first token

15.2 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. Ollama · Q2_K Decode 60.4 · Prefill 264.17 ·
  2. Ollama · Q3_K_M Decode 48.12 · Prefill 253.93 ·
  3. llama.cpp · IQ3_S Decode 55.24 · Prefill 230.96 ·
  4. llama.cpp · IQ4_XS (current)Decode 48.79 · Prefill 201.84 ·
  5. Strata · Q3_K_L Decode 74.94 · Prefill 246.54 ·

Core figures

Decode (avg)
48.79 tok/s
Prefill (avg)
201.84 tok/s
TTFT (avg)
0.8 s
VRAM (avg)
15.2 GB
MTP acceptance rate
—
TTFB
0.39 GB
Power draw
248.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
IQ4_XS
Framework
llama.cpp
Version
v0.32
Context length
4096 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 A770 16GB
Nominal VRAM
16 GB
Measured VRAM (avg)
15.2 GB
OS
Ubuntu 24.04
Driver
Intel Arc 31.0.101.5186
CUDA
12.6
Power draw
248.9 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

    v0.32 · Ubuntu 24.04 · CUDA 12.6 · 4096 ctx

    48.79 tok/s

    Decode

    201.84 tok/s

    Prefill

    0.8 s

    TTFT

    15.2 GB

    VRAM

    —

    MTP

    248.9 W

    Power draw

    L2 batch seed 2026-10-13: llama.cpp on hw_id=97 running model_id=52 at IQ4_XS