phi4-mini:latest

phi3 · 3.8B · Q4_K_M

VMware, Inc. VMware Virtual Platform (Intel Core™ i7-9700)

16 GB · Ubuntu 24.04.5 LTS

Tested on November 4, 2026

Top 56% Compare

Global Score

75 /100

Good

Hardware Fit

84/100

Quality

71/100

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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: VMware, Inc. VMware Virtual Platform
CPU: Intel Core™ i7-9700
Cores: 4 total (4 perf)
Frequency: 3 GHz
RAM: 16 GB
GPU: Integrated / Unknown
OS: Ubuntu 24.04.5 LTS
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 10.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 643 ms
Time to first token How fast the model starts responding — lower is better: 643 ms
Load time Time to load the model into memory before inference: 31.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.9 GB (19%)
Total tokens Total number of tokens generated across all benchmark prompts: 957

Score breakdown

Speed

34/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

13/20

Coding

14/20

Instruction following

15/20

Structured output

14/15

Math

6/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.40.4
Model format: GGUF
Hardware profile: ENTRY
Result hash: 1a300b9c28ed61d2657e107fce7339e24c0f0783277ef3389c66de93fddf36dd

Interpretation

Hardware fit: 84/100. Overall suitability: GOOD (Global 75/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Warnings

CPU appears throttled (0.0 GHz current vs 3.0 GHz nominal, 0%).

Bench Environment

CPU load: avg 80% (peak 100%)

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