gemma4:e4b-mlx
OLLAMA GGUFAug 24, 2026 · Apple M1 Pro
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
90 vs 78
Hardware Fit
86 vs 100
Quality Score
92 vs 68
Hardware
gemma4:e4b-mlx lfm2-24b-a2b
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 Modebalancedbalanced
Performance
gemma4:e4b-mlx lfm2-24b-a2b
Tokens/sec41.8105.9
First chunk359 ms252 ms
TTFT4.2 s252 ms
Load time5.1 sN/A
Memory usage7.9 GB0.1 GB
Memory %49%0%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
11/20
Memory
25/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
14/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong 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