diff --git a/backends/arm/test/ops/test_bmm.py b/backends/arm/test/ops/test_bmm.py
index 2cf90b2119..523a90cdc8 100644
--- a/backends/arm/test/ops/test_bmm.py
+++ b/backends/arm/test/ops/test_bmm.py
@@ -161,7 +161,7 @@ def test_bmm_u85_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         )
 
     @parameterized.expand(BMM.test_parameters[1:])
-    @unittest.expectedFailure
+    @common.expectedFailureOnFVP
     def test_bmm_u85_BI_xfails(self, operand1: torch.Tensor, operand2: torch.Tensor):
         test_data = (operand1, operand2)
         self._test_bmm_ethosu_BI_pipeline(
diff --git a/backends/arm/test/ops/test_depthwise_conv.py b/backends/arm/test/ops/test_depthwise_conv.py
index 628b25c259..d753245f43 100644
--- a/backends/arm/test/ops/test_depthwise_conv.py
+++ b/backends/arm/test/ops/test_depthwise_conv.py
@@ -260,7 +260,7 @@ def test_dw_conv_tosa_BI(self, test_name: str, model: torch.nn.Module):
     )  # Works
 
     @parameterized.expand(testsuite_conv2d, skip_on_empty=True)
-    @common.expectedFailureOnFVP
+    @unittest.expectedFailure
     def test_dw_conv2d_u55_BI(
         self, test_name: str, model: torch.nn.Module, set_quantize_io: bool = False
     ):
diff --git a/backends/arm/test/ops/test_layer_norm.py b/backends/arm/test/ops/test_layer_norm.py
index 7375a25383..e84dd4ee58 100644
--- a/backends/arm/test/ops/test_layer_norm.py
+++ b/backends/arm/test/ops/test_layer_norm.py
@@ -158,7 +158,7 @@ def test_layer_norm_tosa_BI(
     # Numerical issues on FVP likely due to mul op, MLETORCH-521
     # Skip tests that require transposes.
     @parameterized.expand(test_data_suite[:-2])
-    @common.expectedFailureOnFVP
+    @unittest.expectedFailure
     def test_layer_norm_u55_BI(
         self,
         test_name: str,