Back to leaderboard

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
18 vs 81
Hardware Fit
59 vs 82
Quality Score
0 vs 81

Hardware

lfm2-24b-a2b gemma4:12b-mlx
MachineMac miniMacBook Pro
CPUApple M4 ProApple M2 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M2 Pro
OSmacOS 15.7.4macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b gemma4:12b-mlx
Tokens/sec6.625.3
First chunk1025 ms761 ms
TTFT1.0 s7.7 s
Load timeN/A3.6 s
Memory usage0.0 GB7.1 GB
Memory %0%44%

HW Fit Score Breakdown

lfm2-24b-a2b

Speed
9/50
TTFT
20/20
Memory
30/30

gemma4:12b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

Quality

lfm2-24b-a2b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

gemma4:12b-mlx

Reasoning
16/20
Coding
15/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

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