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

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

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

gemma4:e4b-it-q8_0

OLLAMA GGUF

gemma4 · 8.0B · Q8_0

Excellent

Aug 25, 2026 · Apple M1 Pro

Global Score
74 vs 88
Hardware Fit
46 vs 100
Quality Score
86 vs 83

Hardware

google/gemma-4-12b… gemma4:e4b-it-q8_0
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

google/gemma-4-12b… gemma4:e4b-it-q8_0
Tokens/sec5.027.8
First chunk64 ms204 ms
TTFT5.5 s204 ms
Load time9.5 s6.6 s
Memory usage0.0 GB5.0 GB
Memory %0%31%

HW Fit Score Breakdown

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

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

gemma4:e4b-it-q8_0

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

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:e4b-it-q8_0

Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-12b… details | View gemma4:e4b-it-q8_0 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