gemma4:e2b-mlx
OLLAMA GGUFAug 26, 2026 · Apple M1 Pro
mlx-community/Llama-3.2-3B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
88 vs 74
Hardware Fit
79 vs 100
Quality Score
92 vs 63
Hardware
gemma4:e2b-mlx mlx-community/Llam…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e2b-mlx mlx-community/Llam…
Tokens/sec72.850.6
First chunk134 ms257 ms
TTFT30.0 s257 ms
Load time2.6 sN/A
Memory usage5.7 GB0.7 GB
Memory %36%2%
HW Fit Score Breakdown
gemma4:e2b-mlx
Speed
50/50
TTFT
0/20
Memory
29/30
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e2b-mlx
Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
mlx-community/Llama-3.2…
Reasoning
9/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest