diff --git a/ivy/functional/backends/paddle/experimental/elementwise.py b/ivy/functional/backends/paddle/experimental/elementwise.py
index c26898376ea69..e378ed820779e 100644
--- a/ivy/functional/backends/paddle/experimental/elementwise.py
+++ b/ivy/functional/backends/paddle/experimental/elementwise.py
@@ -89,7 +89,7 @@ def fmax(
 
 
 @with_unsupported_device_and_dtypes(
-    {"2.6.0 and below": {"cpu": ("float16",)}}, backend_version
+    {"2.6.0 and below": {"cpu": ("float16", "bfloat16")}}, backend_version
 )
 def sinc(x: paddle.Tensor, /, *, out: Optional[paddle.Tensor] = None) -> paddle.Tensor:
     y = ivy.pi * paddle.where(x == 0, paddle.to_tensor(1.0e-20, dtype=x.dtype), x)
diff --git a/ivy/functional/backends/tensorflow/experimental/elementwise.py b/ivy/functional/backends/tensorflow/experimental/elementwise.py
index 977e0d0584c87..4b803b372a1a7 100644
--- a/ivy/functional/backends/tensorflow/experimental/elementwise.py
+++ b/ivy/functional/backends/tensorflow/experimental/elementwise.py
@@ -72,8 +72,7 @@ def sinc(
     *,
     out: Optional[Union[tf.Tensor, tf.Variable]] = None,
 ) -> Union[tf.Tensor, tf.Variable]:
-    x = ivy.pi * x
-    return tf.cast(tf.where(x == 0, 1, tf.math.sin(x) / x), x.dtype)
+    return tf.cast(tf.experimental.numpy.sinc(x), x.dtype)
 
 
 @with_supported_dtypes(
diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_pointwise_ops.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_pointwise_ops.py
index 52c15b10bd760..72d820202da6b 100644
--- a/ivy_tests/test_ivy/test_frontends/test_torch/test_pointwise_ops.py
+++ b/ivy_tests/test_ivy/test_frontends/test_torch/test_pointwise_ops.py
@@ -2716,6 +2716,8 @@ def test_torch_sinc(
         fn_tree=fn_tree,
         on_device=on_device,
         input=x[0],
+        atol=1e-02,
+        rtol=1e-02,
     )