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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma4:12b

OLLAMA GGUF

gemma4 · 11.9B · Q4_K_M

Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
62 vs 89
Hardware Fit
77 vs 88
Quality Score
55 vs 89

Hardware

google/gemma-4-e4b gemma4:12b
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M2 Pro
Cores1610
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M2 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma4:12b
Tokens/sec27.618.5
First chunk23 ms752 ms
TTFT480 ms752 ms
Load timeN/A6.1 s
Memory usage13.2 GB7.5 GB
Memory %83%47%

HW Fit Score Breakdown

google/gemma-4-e4b

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

gemma4:12b

Speed
42/50
TTFT
20/20
Memory
26/30

Quality

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

gemma4:12b

Reasoning
17/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View gemma4:12b 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