pandas Series.to_dict() type conversion from numpy types seems inconsistent

I'm not sure if this is design intent and my expectations are wrong but it seems to me that the type conversion of numpy types to python types from Series.to_dict() is inconsistent. By comparison, a similar experiment with DataFrame.to_dict() results does what I expect.

venv running: Python 3.7.5, pandas==0.25.3

Here is the example code to illustrate:

import pandas as pd

if __name__ == "__main__":
    data = {'A': 1, 'B': None}
    df = pd.DataFrame([data])
    print("original DataFrame:")
    print(df)

    print("Series.to_dict():")
    res = df.loc[0,:].to_dict()
    for i in res.items():
        print(type(i[1]))

    print("DataFrame.to_dict('records'):")
    res = df.to_dict('records')[0]
    for i in res.items():
        print(type(i[1]))

This code produces the following output: original DataFrame:

   A     B
0  1  None
Series.to_dict():
<class 'numpy.int64'>
<class 'NoneType'>
DataFrame.to_dict('records'):
<class 'int'>
<class 'NoneType'>

Notice that the value for column A is coming out as a numpy.int64 in the case of Series.to_dict() whereas exporting the DataFrame.to_dict('records') and taking the first row from the list of records has the column A value coming out as a python int.

Interestingly, if I remove the None value from column B and replace it with another integer value, I get different behavior in the type conversion. As follows:

import pandas as pd

if __name__ == "__main__":
    data = {'A': 1, 'B': 2}
    df = pd.DataFrame([data])
    print("original DataFrame:")
    print(df)

    print("Series.to_dict():")
    res = df.loc[0,:].to_dict()
    for i in res.items():
        print(type(i[1]))

    print("DataFrame.to_dict('records'):")
    res = df.to_dict('records')[0]
    for i in res.items():
        print(type(i[1]))

The above code yields the following output:

   A  B
0  1  2
Series.to_dict():
<class 'int'>
<class 'int'>
DataFrame.to_dict('records'):
<class 'int'>
<class 'int'>

In this case, both the Series.to_dict() and the DataFrame.to_dict() behave the same way.

Please clarify this for me. Thanks!