phi4-mini:latest

phi3 · 3.8B · 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

Top 46% Compare

Global Score

74 /100

Good

Hardware Fit

98/100

Quality

63/100

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Ollama

ollama pull phi4-mini:latest

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ollama.com/library/phi4-mini

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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: 1.4 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: 18.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.1 s
Time to first token How fast the model starts responding — lower is better: 1.1 s
Load time Time to load the model into memory before inference: 6.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.9 GB (39%)
Total tokens Total number of tokens generated across all benchmark prompts: 1141

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

28/30

Quality

Reasoning

13/20

Coding

11/20

Instruction following

14/20

Structured output

11/15

Math

5/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: ENTRY
Result hash: 342ea3db59a0f6a748a6b44c1cbc6293283daeb522fc57b56a87cd7fb34ce4f8

Interpretation

Hardware fit: 98/100. Overall suitability: GOOD (Global 74/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Adequate, Structured Output: Adequate, Math: Weak, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 5% (peak 10%)

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