diff --git a/python/pyspark/pandas/numpy_compat.py b/python/pyspark/pandas/numpy_compat.py
index 1653121d3124..ef45e5fe4e22 100644
--- a/python/pyspark/pandas/numpy_compat.py
+++ b/python/pyspark/pandas/numpy_compat.py
@@ -98,9 +98,7 @@
     "copysign": pandas_udf(  # type: ignore[call-overload]
         lambda s1, s2: np.copysign(s1, s2), DoubleType()
     ),
-    "float_power": pandas_udf(  # type: ignore[call-overload]
-        lambda s1, s2: np.float_power(s1, s2), DoubleType()
-    ),
+    "float_power": lambda c1, c2: F.pow(c1.cast("double"), c2.cast("double")),
     "floor_divide": pandas_udf(  # type: ignore[call-overload]
         lambda s1, s2: np.floor_divide(s1, s2), DoubleType()
     ),
diff --git a/python/pyspark/pandas/tests/test_numpy_compat.py b/python/pyspark/pandas/tests/test_numpy_compat.py
index 2530d6b04a80..781ef1b0ac9c 100644
--- a/python/pyspark/pandas/tests/test_numpy_compat.py
+++ b/python/pyspark/pandas/tests/test_numpy_compat.py
@@ -149,6 +149,23 @@ def test_np_bitwise_shift_functions(self):
                     np_func(psdf.value, psdf.bits), np_func(pdf.value, pdf.bits), almost=True
                 )
 
+    def test_np_float_power(self):
+        for pdf in (
+            pd.DataFrame({"base": [-64, -2, -1, 0, 1, 2, 64], "exponent": [-2, -1, 0, 1, 2, 3, 2]}),
+            pd.DataFrame(
+                {
+                    "base": [-np.inf, -64.0, -2.0, -0.0, 0.0, 2.0, 64.0, np.inf, np.nan],
+                    "exponent": [2.0, 3.0, -2.0, -3.0, -3.0, 0.5, -2.0, 2.0, 2.0],
+                }
+            ),
+        ):
+            psdf = ps.from_pandas(pdf)
+            self.assert_eq(
+                np.float_power(psdf.base, psdf.exponent),
+                np.float_power(pdf.base, pdf.exponent),
+                almost=True,
+            )
+
     def test_np_spark_compat_series(self):
         from pyspark.pandas.numpy_compat import unary_np_spark_mappings, binary_np_spark_mappings