[Python] How to explain pandas higher performances compared to numpy with 500k+ rows?

In some sources, I found that pandas works faster than numpy with 500k rows or more. Can someone explain this to me?

Pandas have a better performance when the number of rows is 500K or more.

— Difference between Pandas VS NumPy - GeeksforGeeks


If the number of rows of the dataset is more than five hundred thousand (500K), then the performance of Pandas is better than NumPy.

— Pandas Vs NumPy: What’s The Difference? [2023] - InterviewBit


[...] Pandas generally performs better than numpy for 500K rows or more [...]

— PandaPy - firmai on GitHub
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I tried to find where this fact came from. I couldn't figure it out and couldn't see any information from the documentation.

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