Arao AI
Back to search results

gemma-4-E4B-it · IQ3_XS

Start a discussion
Intel Arc B58012GBllama.cpp v0.34L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-E4B-it (IQ3_XS) on Intel Arc B580 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

70.76 tok/s

Decode

Decode speed

300.15 tok/s

Prefill

Prefill speed

1.11 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

12 days ago

Last verified

Performance

  1. llama.cpp · IQ3_XS (current)Decode 70.76 · Prefill 300.15 ·
  2. Ollama · IQ3_S Decode 65.12 · Prefill 253.41 ·

Core figures

Decode (avg)
70.76 tok/s
Prefill (avg)
300.15 tok/s
TTFT (avg)
1.11 s
VRAM (avg)
11.4 GB
MTP acceptance rate
—
TTFB
0.57 GB
Power draw
158 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-E4B-it
Quantization
IQ3_XS
Framework
llama.cpp
Version
v0.34
Context length
8192 tokens
Batch size
512
GPU layers
99
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
158 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-24

    v0.34 · Windows 11 24H2 · CUDA 12.6 · 8192 ctx

    70.76 tok/s

    Decode

    300.15 tok/s

    Prefill

    1.11 s

    TTFT

    11.4 GB

    VRAM

    —

    MTP

    158 W

    Power draw

    L2 batch seed 2026-10-24: llama.cpp on hw_id=94 running model_id=67 at IQ3_XS