llama3.1:8b

llama · 8.0B · 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 · Submitted by Tram

Top 88% Compare

Global Score

46 /100

Marginal

Hardware Fit

61/100

Quality

40/100

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ollama pull llama3.1:8b

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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: 0.99 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: 7.8
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: 1.6 s
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: 21.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 5.2 GB (71%)
Total tokens Total number of tokens generated across all benchmark prompts: 995

Score breakdown

Speed

26/50

Time to first token

20/20

Memory

15/30

Quality

Reasoning

12/20

Coding

10/20

Instruction following

4/20

Structured output

1/15

Math

4/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: ENTRY
Result hash: 65189f37b62500185bac5cdda51e71861ccc744d1cb647796fb000e7fc530b76

Interpretation

Hardware fit: 61/100. Overall suitability: MARGINAL (Global 46/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Poor, Structured Output: Poor, Math: Weak, Multilingual: Strong.

Bench Environment

Thermal: nominal Swap delta: +0.0 GB CPU load: avg 33% (peak 43%)

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