gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
unsloth-phi-4
LM-STUDIO MLXllama · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
82 vs 82
Hardware Fit
99 vs 88
Quality Score
75 vs 80
Hardware
gemma4:e2b-mlx unsloth-phi-4
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:e2b-mlx unsloth-phi-4
Tokens/sec70.427.4
First chunk96 ms457 ms
TTFT96 ms457 ms
Load time2.5 sN/A
Memory usage5.7 GB7.7 GB
Memory %36%12%
HW Fit Score Breakdown
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
unsloth-phi-4
Speed
38/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e2b-mlx
Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
unsloth-phi-4
Reasoning
15/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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