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Qwen3.5-0.8B · Q5_K_S

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Intel Arc 140Vllama.cpp v0.37L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (Q5_K_S) on Intel Arc 140V with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

107.85 tok/s

Decode

Decode speed

550.79 tok/s

Prefill

Prefill speed

0.46 s

TTFT

Time to first token

3.61 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 182.97 · Prefill 879.22 ·
  2. llama.cpp · Q5_K_S (current)Decode 107.85 · Prefill 550.79 ·
  3. Strata · IQ2_M Decode 226.68 · Prefill 945.06 ·
  4. Strata · IQ4_XS Decode 175.73 · Prefill 704.21 ·

Core figures

Decode (avg)
107.85 tok/s
Prefill (avg)
550.79 tok/s
TTFT (avg)
0.46 s
VRAM (avg)
3.61 GB
MTP acceptance rate
—
TTFB
0.86 GB
Power draw
187.1 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
Q5_K_S
Framework
llama.cpp
Version
v0.37
Context length
16384 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 140V
Measured VRAM (avg)
3.61 GB
OS
Windows 11 23H2
Driver
Intel Arc 31.0.101.5186
CUDA
12.6
Power draw
187.1 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.37 · Windows 11 23H2 · CUDA 12.6 · 16384 ctx

    107.85 tok/s

    Decode

    550.79 tok/s

    Prefill

    0.46 s

    TTFT

    3.61 GB

    VRAM

    —

    MTP

    187.1 W

    Power draw

    L2 batch seed 2026-10-16: llama.cpp on hw_id=98 running model_id=51 at Q5_K_S