gemma4:e2b

gemma4 · 4.6B · Q4_K_M

THINKING MODEL

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

93 /100

Excellent

Hardware Fit

100/100

Quality

90/100

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ollama pull gemma4:e2b

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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: 141.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±15.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 94 ms
Time to first token How fast the model starts responding — lower is better: 1.6 s
Load time Time to load the model into memory before inference: 18.4 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: 1460
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~711

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

18/20

Coding

18/20

Instruction following

15/20

Structured output

15/15

Math

15/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.34.0
Model format: GGUF
Hardware profile: ENTRY
Result hash: 34ebca24a2db7dbda5bd76c82abeb3dfa52322102ac751682a1c5680bf0d0b02

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 93/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

CPU load: avg 29% (peak 32%)

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