gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
llama3.2:latest
OLLAMA GGUFllama · 3.2B · Q4_K_M
Feb 28, 2026 · Apple M4 Pro
Global Score
82 vs 73
Hardware Fit
99 vs 100
Quality Score
75 vs 61
Hardware
gemma4:e2b-mlx llama3.2:latest
MachineMacBook ProMac Mini
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 15.7.4
Archarm64arm64
Power Modebalancedunknown
Performance
gemma4:e2b-mlx llama3.2:latest
Tokens/sec70.498.9
First chunk96 msN/A
TTFT96 ms125 ms
Load time2.5 s2.3 s
Memory usage5.7 GB22.1 GB
Memory %36%35%
HW Fit Score Breakdown
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
llama3.2:latest
Speed
40/50
TTFT
30/20
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
llama3.2:latest
Reasoning
11/20
Coding
14/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate 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