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gemma4:e2b-mlx

OLLAMA GGUF
Excellent

Aug 25, 2026 · Apple M1 Pro

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

Global Score
82 vs 78
Hardware Fit
99 vs 68
Quality Score
75 vs 82

Hardware

gemma4:e2b-mlx google/gemma-4-e4b…
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.6.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

gemma4:e2b-mlx google/gemma-4-e4b…
Tokens/sec70.411.4
First chunk96 ms26 ms
TTFT96 ms2.2 s
Load time2.5 s5.9 s
Memory usage5.7 GB0.0 GB
Memory %36%0%

HW Fit Score Breakdown

gemma4:e2b-mlx

Speed
50/50
TTFT
20/20
Memory
29/30

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

Quality

gemma4:e2b-mlx

Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
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 gemma4:e2b-mlx details | View google/gemma-4-e4b… 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