deepseek-r1:1.5b

qwen2 · 1.8B · 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

60 /100

Good

Hardware Fit

90/100

Quality

47/100

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ollama pull deepseek-r1:1.5b

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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: 1.11 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: 34.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 5.3 s
Time to first token How fast the model starts responding — lower is better: 5.3 s
Load time Time to load the model into memory before inference: 5.1 s
Memory usage RAM consumed during inference — percentage of total system memory: 1.1 GB (15%)
Total tokens Total number of tokens generated across all benchmark prompts: 1045

Score breakdown

Speed

50/50

Time to first token

10/20

Memory

30/30

Quality

Reasoning

11/20

Coding

6/20

Instruction following

7/20

Structured output

4/15

Math

14/15

Multilingual

5/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: ENTRY
Result hash: 279c3c86eb80ba3e64b544e1636ef88d614c5ad024b16b82939f4040eaf9c893

Interpretation

Hardware fit: 90/100. Overall suitability: GOOD (Global 60/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Weak, Structured Output: Weak, Math: Strong, Multilingual: Weak.

Bench Environment

Thermal: nominal CPU load: avg 7% (peak 11%)

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