Arao AI
Back to search results

gemma-4-12B-it · IQ1_S

Start a discussion
NVIDIA RTX 408016GBStrata v0.55L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-12B-it (IQ1_S) on NVIDIA RTX 4080 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

247.32 tok/s

Decode

Decode speed

1,242.06 tok/s

Prefill

Prefill speed

0.34 s

TTFT

Time to first token

12.68 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. Ollama · Q3_K_S Decode 117.06 · Prefill 479.42 ·
  2. Strata · IQ1_S (current)Decode 247.32 · Prefill 1242.06 ·

Core figures

Decode (avg)
247.32 tok/s
Prefill (avg)
1,242.06 tok/s
TTFT (avg)
0.34 s
VRAM (avg)
12.68 GB
MTP acceptance rate
0.58
TTFB
1.98 GB
Power draw
200.9 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-12B-it
Quantization
IQ1_S
Framework
Strata
Version
v0.55
Context length
8192 tokens
Batch size
1024
GPU layers
15
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA RTX 4080
Nominal VRAM
16 GB
Measured VRAM (avg)
12.68 GB
OS
Ubuntu 22.04
Driver
572.83
CUDA
13.0
Power draw
200.9 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

    v0.55 · Ubuntu 22.04 · CUDA 13.0 · 8192 ctx

    247.32 tok/s

    Decode

    1,242.06 tok/s

    Prefill

    0.34 s

    TTFT

    12.68 GB

    VRAM

    0.58

    MTP

    200.9 W

    Power draw

    L2 batch seed 2026-10-18: Strata on hw_id=41 running model_id=65 at IQ1_S