Back to leaderboard

google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Gemma4-26B:26b

OLLAMA GGUF

gemma4 · 25.8B · Q4_K_M

Excellent

Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor

Global Score
74 vs 91
Hardware Fit
46 vs 93
Quality Score
86 vs 90

Hardware

google/gemma-4-12b… Gemma4-26B:26b
MachineDocker ContainerHP HyperX OMEN Gaming Laptop 16-ap1xxx
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 9 9955HX3D 16-Core Processor
Cores1632
RAM15 GB31 GB
GPUTigerLake-H GT1 [UHD Graphics]AMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPU
OSUbuntu 26.04 LTSMicrosoft Windows 11 Home 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

google/gemma-4-12b… Gemma4-26B:26b
Tokens/sec5.040.5
First chunk64 ms727 ms
TTFT5.5 s727 ms
Load time9.5 s25.3 s
Memory usage0.0 GB17.0 GB
Memory %0%55%

HW Fit Score Breakdown

google/gemma-4-12b-it-qat

Speed
9/50
TTFT
7/20
Memory
30/30

Gemma4-26B:26b

Speed
50/50
TTFT
20/20
Memory
23/30

Quality

google/gemma-4-12b-it-qat

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

Gemma4-26B:26b

Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-12b… details | View Gemma4-26B:26b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest