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unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
82 vs 62
Hardware Fit
88 vs 77
Quality Score
80 vs 55

Hardware

unsloth-phi-4 google/gemma-4-e4b
MachineMac miniLENOVO 82JQ
CPUApple M4 ProAMD Ryzen 7 5800H
Cores1416
RAM64 GB16 GB
GPUApple M4 ProNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 15.7.4Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

unsloth-phi-4 google/gemma-4-e4b
Tokens/sec27.427.6
First chunk457 ms23 ms
TTFT457 ms480 ms
Load timeN/AN/A
Memory usage7.7 GB13.2 GB
Memory %12%83%

HW Fit Score Breakdown

unsloth-phi-4

Speed
38/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

Quality

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

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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