gemma4:e2b

gemma4 · 4.6B · Q4_K_M

Microsoft WSL (AMD Ryzen 5 5500)

8 GB · Ubuntu 26.04.1 LTS

Tested on October 12, 2026 · Submitted by john_yuki

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Global Score

85 /100

Excellent

Hardware Fit

100/100

Quality

78/100

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ollama pull gemma4:e2b

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ollama.com/library/gemma4

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GGUF versions & quantizations

Hardware

Machine: Microsoft WSL
CPU: AMD Ryzen 5 5500
Cores: 12 threads (6 cores)
RAM: 8 GB
GPU: Integrated / Unknown
OS: Ubuntu 26.04.1 LTS
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 139.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±13.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 51 ms
Time to first token How fast the model starts responding — lower is better: 51 ms
Load time Time to load the model into memory before inference: 28.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.2 GB (3%)
Total tokens Total number of tokens generated across all benchmark prompts: 1081

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

13/20

Coding

17/20

Instruction following

15/20

Structured output

15/15

Math

8/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.34.0
Model format: GGUF
Hardware profile: ENTRY
Result hash: ce6e8fdce5313589ea102108f6503d65eb42f4916fe6646f54355cb65280962d

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 85/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 29% (peak 31%)

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$ npm install -g metrillm@latest

$ metrillm

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Or run without installing: npx metrillm@latest