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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma3:1b

OLLAMA GGUF

gemma3 · 999.89M · Q4_K_M

Marginal

Jun 25, 2026 · Cortex-A78AE

Global Score
68 vs 59
Hardware Fit
93 vs 100
Quality Score
57 vs 42

Hardware

google/gemma-4-e4b gemma3:1b
MachineLENOVO 82JQNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD Ryzen 7 5800HCortex-A78AE
Cores166
RAM16 GB7 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntegrated / Unknown
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma3:1b
Tokens/sec26.234.0
First chunk17 ms1876 ms
TTFT572 ms1.9 s
Load timeN/A1.7 s
Memory usage6.5 GB0.8 GB
Memory %41%11%

HW Fit Score Breakdown

google/gemma-4-e4b

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

gemma3:1b

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

gemma3:1b

Reasoning
7/20
Coding
5/20
Instruction
15/20
Structured
7/15
Math
1/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Weak Math: Poor Multilingual: Adequate
View google/gemma-4-e4b details | View gemma3:1b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest