gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
llama3.2:1b
OLLAMA GGUFllama · 1.2B · Q8_0
Jun 26, 2026 · Cortex-A78AE
Global Score
84 vs 63
Hardware Fit
82 vs 100
Quality Score
85 vs 47
Hardware
gemma4:12b-mlx llama3.2:1b
MachineMacBook ProNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M2 ProCortex-A78AE
Cores106
RAM16 GB7 GB
GPUApple M2 ProIntegrated / Unknown
OSmacOS 26.5Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:12b-mlx llama3.2:1b
Tokens/sec27.240.2
First chunk732 ms1087 ms
TTFT8.1 s1.1 s
Load time3.5 s6.2 s
Memory usage7.1 GB1.4 GB
Memory %44%19%
HW Fit Score Breakdown
gemma4:12b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
llama3.2:1b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:12b-mlx
Reasoning
16/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
llama3.2:1b
Reasoning
4/20
Coding
9/20
Instruction
14/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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