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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
68 vs 81
Hardware Fit
93 vs 100
Quality Score
57 vs 73

Hardware

google/gemma-4-e4b gemma3n:latest
MachineLENOVO 82JQSupermicro AS -2015HS-TNR
CPUAMD Ryzen 7 5800HAMD EPYC 9654P 96-Core Processor
Cores1664
RAM16 GB128 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 24.04.3 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b gemma3n:latest
Tokens/sec26.2108.7
First chunk17 ms333 ms
TTFT572 ms333 ms
Load timeN/A4.5 s
Memory usage6.5 GB8.6 GB
Memory %41%7%

HW Fit Score Breakdown

google/gemma-4-e4b

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

gemma3n:latest

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

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

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View gemma3n:latest 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