Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma4:12b-it-qat

OLLAMA GGUF

gemma4 · 11.9B · Q4_0

Excellent

Jun 25, 2026 · Apple M4 Pro

Global Score
62 vs 88
Hardware Fit
77 vs 86
Quality Score
55 vs 89

Hardware

google/gemma-4-e4b gemma4:12b-it-qat
MachineLENOVO 82JQMac mini
CPUAMD Ryzen 7 5800HApple M4 Pro
Cores1612
RAM16 GB24 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma4:12b-it-qat
Tokens/sec27.630.0
First chunk23 ms686 ms
TTFT480 ms7.1 s
Load timeN/A5.4 s
Memory usage13.2 GB7.1 GB
Memory %83%30%

HW Fit Score Breakdown

google/gemma-4-e4b

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

gemma4:12b-it-qat

Speed
50/50
TTFT
6/20
Memory
30/30

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-it-qat

Reasoning
18/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View gemma4:12b-it-qat 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