diff --git a/pandas/core/ops/__init__.py b/pandas/core/ops/__init__.py
index 856a1823353d5..7937821814ab2 100644
--- a/pandas/core/ops/__init__.py
+++ b/pandas/core/ops/__init__.py
@@ -467,7 +467,7 @@ def _combine_series_frame(left, right, func, axis: int):
     # We assume that self.align(other, ...) has already been called
 
     rvalues = right._values
-    if isinstance(rvalues, np.ndarray):
+    if not left._mgr.any_extension_types and isinstance(rvalues, np.ndarray):
         # TODO(EA2D): no need to special-case with 2D EAs
         # We can operate block-wise
         if axis == 0:
diff --git a/pandas/tests/arithmetic/test_numeric.py b/pandas/tests/arithmetic/test_numeric.py
index a37339c66bf6e..3bf64a46600ad 100644
--- a/pandas/tests/arithmetic/test_numeric.py
+++ b/pandas/tests/arithmetic/test_numeric.py
@@ -1309,3 +1309,18 @@ def test_dataframe_div_silenced():
     )
     with tm.assert_produces_warning(None):
         pdf1.div(pdf2, fill_value=0)
+
+
+def test_dataframe_series_extension_dtypes():
+    # https://github.com/pandas-dev/pandas/issues/34311
+    df = pd.DataFrame(np.random.randint(0, 100, (10, 3)), columns=["a", "b", "c"])
+    s = pd.Series([1, 2, 3], index=["a", "b", "c"])
+
+    expected = df.to_numpy("int64") + s.to_numpy("int64").reshape(-1, 3)
+    expected = pd.DataFrame(expected, columns=df.columns, dtype="Int64")
+
+    df_ea = df.astype("Int64")
+    result = df_ea + s
+    tm.assert_frame_equal(result, expected)
+    result = df_ea + s.astype("Int64")
+    tm.assert_frame_equal(result, expected)
diff --git a/pandas/tests/frame/test_arithmetic.py b/pandas/tests/frame/test_arithmetic.py
index 5cb27c697a64d..44869b6ace2d5 100644
--- a/pandas/tests/frame/test_arithmetic.py
+++ b/pandas/tests/frame/test_arithmetic.py
@@ -339,6 +339,20 @@ def test_df_flex_cmp_constant_return_types_empty(self, opname):
         result = getattr(empty, opname)(const).dtypes.value_counts()
         tm.assert_series_equal(result, pd.Series([2], index=[np.dtype(bool)]))
 
+    def test_df_flex_cmp_ea_dtype_with_ndarray_series(self):
+        ii = pd.IntervalIndex.from_breaks([1, 2, 3])
+        df = pd.DataFrame({"A": ii, "B": ii})
+
+        ser = pd.Series([0, 0])
+        res = df.eq(ser, axis=0)
+
+        expected = pd.DataFrame({"A": [False, False], "B": [False, False]})
+        tm.assert_frame_equal(res, expected)
+
+        ser2 = pd.Series([1, 2], index=["A", "B"])
+        res2 = df.eq(ser2, axis=1)
+        tm.assert_frame_equal(res2, expected)
+
 
 # -------------------------------------------------------------------
 # Arithmetic