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llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Feb 28, 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
73 vs 62
Hardware Fit
100 vs 77
Quality Score
61 vs 55

Hardware

llama3.2:latest 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 Modeunknownbalanced

Performance

llama3.2:latest google/gemma-4-e4b
Tokens/sec98.927.6
First chunkN/A23 ms
TTFT125 ms480 ms
Load time2.3 sN/A
Memory usage22.1 GB13.2 GB
Memory %35%83%

HW Fit Score Breakdown

llama3.2:latest

Speed
40/50
TTFT
30/20
Memory
30/30

google/gemma-4-e4b

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

Quality

llama3.2:latest

Reasoning
11/20
Coding
14/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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