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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
68 vs 50
Hardware Fit
93 vs 97
Quality Score
57 vs 30

Hardware

google/gemma-4-e4b gemma3:270m
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M3 Pro
Cores1612
RAM16 GB36 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M3 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 15.7.5
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma3:270m
Tokens/sec26.2239.2
First chunk17 ms127 ms
TTFT572 ms127 ms
Load timeN/A0.7 s
Memory usage6.5 GB0.6 GB
Memory %41%2%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

gemma3:270m

Speed
50/50
TTFT
20/20
Memory
27/30

Quality

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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