diff --git a/pyathena/arrow/result_set.py b/pyathena/arrow/result_set.py
index ea11a419f..77978264a 100644
--- a/pyathena/arrow/result_set.py
+++ b/pyathena/arrow/result_set.py
@@ -146,6 +146,9 @@ def __init__(
             import pyarrow as pa
 
             self._table = pa.Table.from_pydict({})
+        # The fetch methods convert only the values read from a result file.
+        # GetQueryResults values are already converted.
+        self._convert_rows = bool(self.output_location)
         self._batches = iter(self._table.to_batches(arraysize))
 
     def _create_s3_file_system(self):
@@ -251,11 +254,15 @@ def _fetch(self) -> None:
             return
         else:
             dict_rows = rows.to_pydict()
-            column_names = dict_rows.keys()
-            processed_rows = [
-                tuple(self.converters[k](v) for k, v in zip(column_names, row, strict=False))
-                for row in zip(*dict_rows.values(), strict=False)
-            ]
+            if self._convert_rows:
+                converters = self.converters
+                column_names = dict_rows.keys()
+                processed_rows = [
+                    tuple(converters[k](v) for k, v in zip(column_names, row, strict=False))
+                    for row in zip(*dict_rows.values(), strict=False)
+                ]
+            else:
+                processed_rows = list(zip(*dict_rows.values(), strict=False))
             self._rows.extend(processed_rows)
 
     @override
diff --git a/tests/pyathena/arrow/test_cursor.py b/tests/pyathena/arrow/test_cursor.py
index af1abca69..f70e99f65 100644
--- a/tests/pyathena/arrow/test_cursor.py
+++ b/tests/pyathena/arrow/test_cursor.py
@@ -969,5 +969,16 @@ def test_null_vs_empty_string(self, arrow_cursor):
         indirect=["arrow_cursor"],
     )
     def test_fetch_all_rows(self, arrow_cursor):
-        arrow_cursor.execute("SELECT 1 AS col")
-        assert arrow_cursor.fetchall() == [(1,)]
+        arrow_cursor.execute(
+            """
+            SELECT
+              1 AS col
+              ,CAST('12:34:56' AS TIME) AS col_time
+              ,X'0102' AS col_varbinary
+              ,json_parse('{"a": 1}') AS col_json
+              ,CAST('{"a": 1}' AS JSON) AS col_json_string
+            """
+        )
+        assert arrow_cursor.fetchall() == [
+            (1, datetime(2017, 1, 1, 12, 34, 56).time(), b"\x01\x02", {"a": 1}, '{"a": 1}')
+        ]