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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
62 vs 67
Hardware Fit
77 vs 77
Quality Score
55 vs 63

Hardware

google/gemma-4-e4b llama3.2:3b
MachineLENOVO 82JQLENOVO 20U30029MB
CPUAMD Ryzen 7 5800HIntel Core™ i5-10210U
Cores168
RAM16 GB15 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUCometLake-U GT2 [UHD Graphics]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Pop 24.04 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b llama3.2:3b
Tokens/sec27.610.0
First chunk23 ms1166 ms
TTFT480 ms1.2 s
Load timeN/A6.8 s
Memory usage13.2 GB3.8 GB
Memory %83%25%

HW Fit Score Breakdown

google/gemma-4-e4b

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

llama3.2:3b

Speed
27/50
TTFT
20/20
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

llama3.2:3b

Reasoning
11/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View google/gemma-4-e4b details | View llama3.2:3b 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