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gemma-4-12B-it · IQ2_M

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NVIDIA RTX 508016GBStrata v0.44L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-12B-it (IQ2_M) on NVIDIA RTX 5080 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

277.55 tok/s

Decode

Decode speed

1,220.39 tok/s

Prefill

Prefill speed

1.31 s

TTFT

Time to first token

15.2 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 Decode 201.04 · Prefill 1060.13 ·
  2. llama.cpp · IQ2_XS Decode 194.87 · Prefill 964.07 ·
  3. Strata · IQ2_M (current)Decode 277.55 · Prefill 1220.39 ·
  4. Ollama · IQ2_XS Decode 103.79 · Prefill 371.24 ·

Core figures

Decode (avg)
277.55 tok/s
Prefill (avg)
1,220.39 tok/s
TTFT (avg)
1.31 s
VRAM (avg)
15.2 GB
MTP acceptance rate
0.47
TTFB
2.22 GB
Power draw
234.3 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-12B-it
Quantization
IQ2_M
Framework
Strata
Version
v0.44
Context length
32768 tokens
Batch size
256
GPU layers
12
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 5080
Nominal VRAM
16 GB
Measured VRAM (avg)
15.2 GB
OS
Ubuntu 24.04
Driver
560.94
CUDA
12.4
Power draw
234.3 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

    v0.44 · Ubuntu 24.04 · CUDA 12.4 · 32768 ctx

    277.55 tok/s

    Decode

    1,220.39 tok/s

    Prefill

    1.31 s

    TTFT

    15.2 GB

    VRAM

    0.47

    MTP

    234.3 W

    Power draw

    L2 batch seed 2026-10-18: Strata on hw_id=14 running model_id=65 at IQ2_M