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Qwen3.5-4B · Q4_K_S

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Intel Arc 140Vllama.cpp v0.20L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (Q4_K_S) on Intel Arc 140V with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

66.95 tok/s

Decode

Decode speed

214.51 tok/s

Prefill

Prefill speed

1.25 s

TTFT

Time to first token

8.65 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_M Decode 86.1 · Prefill 275.57 ·
  2. llama.cpp · Q4_K_S (current)Decode 66.95 · Prefill 214.51 ·
  3. vLLM · Q5_K_S Decode 56.56 · Prefill 269.34 ·

Core figures

Decode (avg)
66.95 tok/s
Prefill (avg)
214.51 tok/s
TTFT (avg)
1.25 s
VRAM (avg)
8.65 GB
MTP acceptance rate
—
TTFB
0.54 GB
Power draw
157.1 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
Q4_K_S
Framework
llama.cpp
Version
v0.20
Context length
32768 tokens
Batch size
256
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 140V
Measured VRAM (avg)
8.65 GB
OS
Ubuntu 24.04
Driver
Intel Arc 31.0.101.5186
CUDA
12.6
Power draw
157.1 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

    v0.20 · Ubuntu 24.04 · CUDA 12.6 · 32768 ctx

    66.95 tok/s

    Decode

    214.51 tok/s

    Prefill

    1.25 s

    TTFT

    8.65 GB

    VRAM

    —

    MTP

    157.1 W

    Power draw

    L2 batch seed 2026-10-16: llama.cpp on hw_id=98 running model_id=48 at Q4_K_S