BUG: `DataFrame.equals` returns `True` when compared elements differ in being `np.array`s
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

- [ ] I have confirmed this bug exists on the master branch of pandas.


### Reproducible Example

```python
import pandas as pd
import numpy as np
# Create a minimal DataFrame.
df = pd.DataFrame(dict(x=["a"]))
df
#	x
# 0	a
# Change x to a numpy array.
df_np = df.copy()
df_np.x = [np.array(df.x)]
df_np  # Display that this differs from df.
# 	x
# 0	[a]
df_np.equals(df)
# True
```


### Issue Description

When comparing two DataFrames, and some values are numpy arrays in one and not in another, `equals` returns `True`, despite them differing visibly.

Here's the above code in a [notebook](https://colab.research.google.com/drive/1daI7Y-XF2c7iOge8Fhlul5puBCNnExEJ?usp=sharing).

Possibly related: https://github.com/pandas-dev/pandas/issues/43008

### Expected Behavior

`df_np.equals(df)` should return `False`.

### Installed Versions

<details>

/usr/local/lib/python3.7/dist-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use "pip install psycopg2-binary" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.
  """)

INSTALLED VERSIONS
------------------
commit           : 73c68257545b5f8530b7044f56647bd2db92e2ba
python           : 3.7.12.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.104+
Version          : #1 SMP Sat Jun 5 09:50:34 PDT 2021
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.3
numpy            : 1.19.5
pytz             : 2018.9
dateutil         : 2.8.2
pip              : 21.1.3
setuptools       : 57.4.0
Cython           : 0.29.24
pytest           : 3.6.4
hypothesis       : None
sphinx           : 1.8.5
blosc            : None
feather          : 0.4.1
xlsxwriter       : None
lxml.etree       : 4.2.6
html5lib         : 1.0.1
pymysql          : None
psycopg2         : 2.7.6.1 (dt dec pq3 ext lo64)
jinja2           : 2.11.3
IPython          : 5.5.0
pandas_datareader: 0.9.0
bs4              : 4.6.3
bottleneck       : 1.3.2
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.2.2
numexpr          : 2.7.3
odfpy            : None
openpyxl         : 2.5.9
pandas_gbq       : 0.13.3
pyarrow          : 3.0.0
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : 1.4.25
tables           : 3.4.4
tabulate         : 0.8.9
xarray           : 0.18.2
xlrd             : 1.1.0
xlwt             : 1.3.0
numba            : 0.51.2

</details>
