Back to leaderboard

gemma4:e2b-mlx

OLLAMA GGUF
Excellent

Aug 25, 2026 · Apple M1 Pro

qwen2.5-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
82 vs 69
Hardware Fit
99 vs 100
Quality Score
75 vs 56

Hardware

gemma4:e2b-mlx qwen2.5-1.5b-instr…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e2b-mlx qwen2.5-1.5b-instr…
Tokens/sec70.458.1
First chunk96 ms211 ms
TTFT96 ms211 ms
Load time2.5 sN/A
Memory usage5.7 GB1.5 GB
Memory %36%5%

HW Fit Score Breakdown

gemma4:e2b-mlx

Speed
50/50
TTFT
20/20
Memory
29/30

qwen2.5-1.5b-instruct

Speed
50/50
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

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View gemma4:e2b-mlx details | View qwen2.5-1.5b-instr… details

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