BUG: Pyarrow Float dataframe -> to_numpy yields Object type

[s-banach]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pyarrow as pa
import pandas as pd

s = pd.Series([1, 2, 3], dtype=pd.ArrowDtype(pa.float64()))
pd.DataFrame({"x": s, "y": s}).to_numpy().dtype

"""dtype('O')"""

Issue Description

Other issues such as #54808 mention to_numpy() yielding object types in the presence of nulls.
Here I got object types even without nulls.

Expected Behavior

Output should be np.float64 array.

Installed Versions

INSTALLED VERSIONS

commit : a60ad39
python : 3.11.3.final.0
python-bits : 64
OS : Linux
OS-release : 4.18.0-425.19.2.el8_7.x86_64
Version : #1 SMP Fri Mar 17 01:52:38 EDT 2023
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.utf8
LOCALE : en_US.UTF-8

pandas : 2.1.2
numpy : 1.25.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.6.1
pip : 23.0.1
Cython : 3.0.0
pytest : 7.4.0
hypothesis : None
sphinx : 6.2.1
blosc : None
feather : None
xlsxwriter : 3.1.2
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.8.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : 2023.6.0
gcsfs : None
matplotlib : 3.7.2
numba : 0.58.0
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 14.0.0
pyreadstat : 1.2.1
pyxlsb : None
s3fs : 2023.6.0
scipy : 1.11.2
sqlalchemy : 2.0.16
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None

[mroeschke]

Thanks for the report. The core issue is based in #22791 so will close in favor of that issue