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

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Hardware

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

Performance

Tokens/sec
33.9
Standard deviation
±1.3
First chunk latency
1.9 s
Time to first token
1.9 s
Load time
1.8 s
Memory usage
0.8 GB (11%)
Total tokens
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
8e0229c829f0d6833924ea7a29d05aec329af8c1f0d80d0baff6824fd2c7ff8c

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 9% (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