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Qwen3.8-9B · IQ2_M

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Intel Arc B58012GBllama.cpp v0.39L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (IQ2_M) on Intel Arc B580 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

60.79 tok/s

Decode

Decode speed

239.93 tok/s

Prefill

Prefill speed

1.97 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_M (current)Decode 60.79 · Prefill 239.93 ·
  2. vLLM · IQ1_S Decode 66.31 · Prefill 217.11 ·
  3. llama.cpp · IQ2_XS Decode 61.39 · Prefill 302.91 ·
  4. llama.cpp · IQ3_XS Decode 56.63 · Prefill 277.66 ·
  5. llama.cpp · Q4_K_M Decode — · Prefill — ·

Core figures

Decode (avg)
60.79 tok/s
Prefill (avg)
239.93 tok/s
TTFT (avg)
1.97 s
VRAM (avg)
11.4 GB
MTP acceptance rate
—
TTFB
0.49 GB
Power draw
145.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
IQ2_M
Framework
llama.cpp
Version
v0.39
Context length
8192 tokens
Batch size
256
GPU layers
33
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
Windows 11 24H2
Driver
Intel Arc 32.0.101.6552
CUDA
12.6
Power draw
145.9 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-18

    v0.39 · Windows 11 24H2 · CUDA 12.6 · 8192 ctx

    60.79 tok/s

    Decode

    239.93 tok/s

    Prefill

    1.97 s

    TTFT

    11.4 GB

    VRAM

    —

    MTP

    145.9 W

    Power draw

    L2 batch seed 2026-10-18: llama.cpp on hw_id=94 running model_id=52 at IQ2_M