gemma3:1b

gemma3 · 999.89M · 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 25, 2026 · Submitted by Tram

Top 78% Compare

Global Score

57 /100

Marginal

Hardware Fit

100/100

Quality

39/100

Get this model

🦙

Ollama

ollama pull gemma3:1b

View on Ollama Library

ollama.com/library/gemma3

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPU: Cortex-A78AE
Cores: 6 total (6 perf)
Frequency: 1.17 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: 33.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 2.0 s
Time to first token How fast the model starts responding — lower is better: 2.0 s
Load time Time to load the model into memory before inference: 7.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.8 GB (11%)
Total tokens Total number of tokens generated across all benchmark prompts: 992

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

6/20

Coding

3/20

Instruction following

14/20

Structured output

8/15

Math

1/15

Multilingual

7/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: ENTRY
Result hash: 6ee5ab113aa3e3260e67cdeb7c2749fce58ceeb2ac51021c6561118600358eb7

Interpretation

Hardware fit: 100/100. Overall suitability: MARGINAL (Global 57/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Adequate, Structured Output: Adequate, Math: Poor, Multilingual: Adequate.

Bench Environment

Thermal: nominal CPU load: avg 8% (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