gemma4:e2b

gemma4 · 5.1B · Q4_K_M

LENOVO 20U30029MB (Intel Core™ i5-10210U)

15 GB · Pop 24.04 LTS

Tested on August 28, 2026

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Global Score

76 /100

Good

Hardware Fit

82/100

Quality

73/100

Get this model

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Ollama

ollama pull gemma4:e2b

View on Ollama Library

ollama.com/library/gemma4

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GGUF versions & quantizations

Hardware

Machine: LENOVO 20U30029MB
CPU: Intel Core™ i5-10210U
Cores: 8 threads (4 cores)
Frequency: 1.6 GHz
RAM: 15 GB
GPU: CometLake-U GT2 [UHD Graphics]
OS: Pop 24.04 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 13.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.3 s
Time to first token How fast the model starts responding — lower is better: 1.3 s
Load time Time to load the model into memory before inference: 13.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 6.5 GB (42%)
Total tokens Total number of tokens generated across all benchmark prompts: 1019

Score breakdown

Speed

35/50

Time to first token

20/20

Memory

27/30

Quality

Reasoning

10/20

Coding

15/20

Instruction following

16/20

Structured output

15/15

Math

7/15

Multilingual

10/10

Category levels

Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.1
Model format: GGUF
Hardware profile: ENTRY
Result hash: 6777c8131ccdc50cbf2f56239020231df5f70dbf4ceda8334caa62861395f17a

Interpretation

Hardware fit: 82/100. Overall suitability: GOOD (Global 76/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Warnings

Running on battery power — performance may be reduced.

Bench Environment

Thermal: moderate Power: Battery CPU load: avg 43% (peak 54%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest