llama3.2:1b
OLLAMA GGUFllama · 1.2B · Q8_0
Jun 26, 2026 · Cortex-A78AE
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
63 vs 78
Hardware Fit
100 vs 72
Quality Score
47 vs 81
Hardware
llama3.2:1b gemma4:e4b-mlx
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMacBook Pro
CPUCortex-A78AEApple M2 Pro
Cores610
RAM7 GB16 GB
GPUIntegrated / UnknownApple M2 Pro
OSUbuntu 22.04.5 LTSmacOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.2:1b gemma4:e4b-mlx
Tokens/sec40.226.9
First chunk1087 ms222 ms
TTFT1.1 s222 ms
Load time6.2 s0.1 s
Memory usage1.4 GB15.4 GB
Memory %19%96%
HW Fit Score Breakdown
llama3.2:1b
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
2/30
Quality
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
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
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