gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
78 vs 78
Hardware Fit
72 vs 100
Quality Score
81 vs 68
Hardware
gemma4:e4b-mlx lfm2-24b-a2b
MachineMacBook ProMac mini
CPUApple M2 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx lfm2-24b-a2b
Tokens/sec26.9105.9
First chunk222 ms252 ms
TTFT222 ms252 ms
Load time0.1 sN/A
Memory usage15.4 GB0.1 GB
Memory %96%0%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
2/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e4b-mlx
Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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