diff --git a/pandas/core/indexing.py b/pandas/core/indexing.py
index fa702770a0990..b8598d1c4a518 100644
--- a/pandas/core/indexing.py
+++ b/pandas/core/indexing.py
@@ -1085,7 +1085,7 @@ def _convert_to_indexer(self, key, axis: AxisInt):
     @final
     def __getitem__(self, key):
         check_dict_or_set_indexers(key)
-        if type(key) is tuple:
+        if isinstance(key, tuple):
             key = tuple(list(x) if is_iterator(x) else x for x in key)
             key = tuple(com.apply_if_callable(x, self.obj) for x in key)
             if self._is_scalar_access(key):
diff --git a/pandas/tests/frame/indexing/test_indexing.py b/pandas/tests/frame/indexing/test_indexing.py
index c0b04b1f8e80f..5423a7e432113 100644
--- a/pandas/tests/frame/indexing/test_indexing.py
+++ b/pandas/tests/frame/indexing/test_indexing.py
@@ -1402,6 +1402,25 @@ def test_loc_named_tuple_for_midx(self):
         )
         tm.assert_frame_equal(result, expected)
 
+    def test_iloc_named_tuple_for_midx(self):
+        # GH#48188
+        df = DataFrame(
+            index=MultiIndex.from_product(
+                [["A", "B"], ["a", "b", "c"]], names=["first", "second"]
+            ),
+            columns=["one", "two", "three", "four"],
+        )
+        indexer_tuple = namedtuple("Indexer", df.index.names)
+        idxr = indexer_tuple(first=[1, 2], second=[2, 3])
+        result = df.iloc[idxr]
+        expected = DataFrame(
+            index=MultiIndex.from_tuples(
+                [("A", "b"), ("A", "c")], names=["first", "second"]
+            ),
+            columns=["three", "four"],
+        )
+        tm.assert_frame_equal(result, expected)
+
     @pytest.mark.parametrize("indexer", [["a"], "a"])
     @pytest.mark.parametrize("col", [{}, {"b": 1}])
     def test_set_2d_casting_date_to_int(self, col, indexer):