diff --git a/doc/source/whatsnew/v0.25.0.rst b/doc/source/whatsnew/v0.25.0.rst
index 99b57e2427509..89c9f7ab68490 100644
--- a/doc/source/whatsnew/v0.25.0.rst
+++ b/doc/source/whatsnew/v0.25.0.rst
@@ -383,6 +383,7 @@ Reshaping
 - Bug in :func:`concat` where order of ``OrderedDict`` (and ``dict`` in Python 3.6+) is not respected, when passed in as  ``objs`` argument (:issue:`21510`)
 - Bug in :func:`concat` where the resulting ``freq`` of two :class:`DatetimeIndex` with the same ``freq`` would be dropped (:issue:`3232`).
 - Bug in :func:`merge` where merging with equivalent Categorical dtypes was raising an error (:issue:`22501`)
+- Bug in :class:`DataFrame` constructor when passing non-empty tuples would cause a segmentation fault (:issue:`25691`)
 
 Sparse
 ^^^^^^
diff --git a/pandas/_libs/lib.pyx b/pandas/_libs/lib.pyx
index f84dc3fa9fb90..f98f29d178c15 100644
--- a/pandas/_libs/lib.pyx
+++ b/pandas/_libs/lib.pyx
@@ -2264,22 +2264,21 @@ def to_object_array(rows: object, int min_width=0):
     cdef:
         Py_ssize_t i, j, n, k, tmp
         ndarray[object, ndim=2] result
-        list input_rows
         list row
 
-    input_rows = <list>rows
-    n = len(input_rows)
+    rows = list(rows)
+    n = len(rows)
 
     k = min_width
     for i in range(n):
-        tmp = len(input_rows[i])
+        tmp = len(rows[i])
         if tmp > k:
             k = tmp
 
     result = np.empty((n, k), dtype=object)
 
     for i in range(n):
-        row = list(input_rows[i])
+        row = list(rows[i])
 
         for j in range(len(row)):
             result[i, j] = row[j]
@@ -2304,12 +2303,26 @@ def tuples_to_object_array(ndarray[object] tuples):
     return result
 
 
-def to_object_array_tuples(rows: list):
+def to_object_array_tuples(rows: object):
+    """
+    Convert a list of tuples into an object array. Any subclass of
+    tuple in `rows` will be casted to tuple.
+
+    Parameters
+    ----------
+    rows : 2-d array (N, K)
+        A list of tuples to be converted into an array.
+
+    Returns
+    -------
+    obj_array : numpy array of the object dtype
+    """
     cdef:
         Py_ssize_t i, j, n, k, tmp
         ndarray[object, ndim=2] result
         tuple row
 
+    rows = list(rows)
     n = len(rows)
 
     k = 0
diff --git a/pandas/tests/frame/test_constructors.py b/pandas/tests/frame/test_constructors.py
index 8ea5c05125005..fa8ea27420b1a 100644
--- a/pandas/tests/frame/test_constructors.py
+++ b/pandas/tests/frame/test_constructors.py
@@ -1209,12 +1209,26 @@ def test_constructor_mixed_type_rows(self):
         expected = DataFrame([[1, 2], [3, 4]])
         tm.assert_frame_equal(result, expected)
 
-    def test_constructor_tuples(self):
+    @pytest.mark.parametrize("tuples,lists", [
+        ((), []),
+        ((()), []),
+        (((), ()), [(), ()]),
+        (((), ()), [[], []]),
+        (([], []), [[], []]),
+        (([1, 2, 3], [4, 5, 6]), [[1, 2, 3], [4, 5, 6]])
+    ])
+    def test_constructor_tuple(self, tuples, lists):
+        # GH 25691
+        result = DataFrame(tuples)
+        expected = DataFrame(lists)
+        tm.assert_frame_equal(result, expected)
+
+    def test_constructor_list_of_tuples(self):
         result = DataFrame({'A': [(1, 2), (3, 4)]})
         expected = DataFrame({'A': Series([(1, 2), (3, 4)])})
         tm.assert_frame_equal(result, expected)
 
-    def test_constructor_namedtuples(self):
+    def test_constructor_list_of_namedtuples(self):
         # GH11181
         from collections import namedtuple
         named_tuple = namedtuple("Pandas", list('ab'))