gemma3:4b

gemma3 · 4.3B · Q4_K_M

NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super (Cortex-A78AE)

7 GB · Ubuntu 22.04.5 LTS

Tested on June 26, 2026

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Global Score

76 /100

Good

Hardware Fit

92/100

Quality

69/100

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Ollama

ollama pull gemma3:4b

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ollama.com/library/gemma3

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GGUF versions & quantizations

Hardware

Machine: NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPU: Cortex-A78AE
Cores: 6 total (6 perf)
Frequency: 1.04 GHz
RAM: 7 GB
GPU: Integrated / Unknown
OS: Ubuntu 22.04.5 LTS
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 15.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 2.4 s
Time to first token How fast the model starts responding — lower is better: 2.4 s
Load time Time to load the model into memory before inference: 13.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.6 GB (35%)
Total tokens Total number of tokens generated across all benchmark prompts: 1089

Score breakdown

Speed

45/50

Time to first token

18/20

Memory

29/30

Quality

Reasoning

11/20

Coding

17/20

Instruction following

13/20

Structured output

14/15

Math

4/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: ENTRY
Result hash: 890dc18900c015b8447adba9f0838e2bb23e9bb823d518e9d93b429f5c0d4cf1

Interpretation

Hardware fit: 92/100. Overall suitability: GOOD (Global 76/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Bench Environment

Thermal: nominal Swap delta: +0.1 GB CPU load: avg 6% (peak 11%)

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