BUG: np_can_hold_element raising for numpy_dtype and ea Series

[phofl]

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Reproducible Example

from pandas.core.dtypes.cast import np_can_hold_element

# This raises
np_can_hold_element(np.dtype("int64"), Series([1, 2], dtype="Int64"))

# while both of the following work
np_can_hold_element(pd.Int64Dtype, Series([1, 2], dtype="int64"))
np_can_hold_element(pd.Int64Dtype, Series([1, 2], dtype="Int64"))

Issue Description

Using non-ea dtypes and ea-dtype Series objects raises, this should not happen.

Expected Behavior

Should not raise

#47425

Installed Versions

Replace this line with the output of pd.show_versions()

[jbrockmendel]

The annotation dtype: np.dtype is correct: EA dtypes should not be passed here.

The annotation element: Any is not correct: Series objects should already have been unpacked here i think. (i guess unless we're treating it as a scalar to potentially set into an object-dtype array?)

[phofl]

So we should always pass Series._values instead of the Series itself?

[jbrockmendel]

So we should always pass Series._values instead of the Series itself?

im pretty sure that can't be right in the general case, since we could be trying to set a Series object as an entry into an object-dtype array.