diff --git a/backends/arm/test/models/test_mobilenet_v2_arm.py b/backends/arm/test/models/test_mobilenet_v2_arm.py
index 6fbea63fb00..fca743a6fa2 100644
--- a/backends/arm/test/models/test_mobilenet_v2_arm.py
+++ b/backends/arm/test/models/test_mobilenet_v2_arm.py
@@ -8,6 +8,8 @@
 import logging
 import unittest
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 
@@ -83,6 +85,8 @@ def test_mv2_tosa_BI(self):
             .run_method_and_compare_outputs(atol=1.0, qtol=1, inputs=self.model_inputs)
         )
 
+    @pytest.mark.slow
+    @pytest.mark.corstone_fvp
     def test_mv2_u55_BI(self):
         tester = (
             ArmTester(
@@ -101,6 +105,8 @@ def test_mv2_u55_BI(self):
                 atol=1.0, qtol=1, inputs=self.model_inputs, target_board="corstone-300"
             )
 
+    @pytest.mark.slow
+    @pytest.mark.corstone_fvp
     def test_mv2_u85_BI(self):
         tester = (
             ArmTester(
diff --git a/backends/arm/test/ops/test_add.py b/backends/arm/test/ops/test_add.py
index 8d18c7ab539..24faace0070 100644
--- a/backends/arm/test/ops/test_add.py
+++ b/backends/arm/test/ops/test_add.py
@@ -9,6 +9,7 @@
 
 from typing import Tuple
 
+import pytest
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -131,6 +132,7 @@ def test_add_tosa_BI(self, test_data: torch.Tensor):
         self._test_add_tosa_BI_pipeline(self.Add(), test_data)
 
     @parameterized.expand(Add.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_add_u55_BI(self, test_data: torch.Tensor):
         test_data = (test_data,)
         self._test_add_ethos_BI_pipeline(
@@ -140,6 +142,7 @@ def test_add_u55_BI(self, test_data: torch.Tensor):
         )
 
     @parameterized.expand(Add.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_add_u85_BI(self, test_data: torch.Tensor):
         test_data = (test_data,)
         self._test_add_ethos_BI_pipeline(
@@ -159,6 +162,7 @@ def test_add2_tosa_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         self._test_add_tosa_BI_pipeline(self.Add2(), test_data)
 
     @parameterized.expand(Add2.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_add2_u55_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         test_data = (operand1, operand2)
         self._test_add_ethos_BI_pipeline(
@@ -166,6 +170,7 @@ def test_add2_u55_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         )
 
     @parameterized.expand(Add2.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_add2_u85_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         test_data = (operand1, operand2)
         self._test_add_ethos_BI_pipeline(
diff --git a/backends/arm/test/ops/test_avg_pool.py b/backends/arm/test/ops/test_avg_pool.py
index c517b5ebe4c..27629701c32 100644
--- a/backends/arm/test/ops/test_avg_pool.py
+++ b/backends/arm/test/ops/test_avg_pool.py
@@ -9,6 +9,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.quantizer.arm_quantizer import (
     ArmQuantizer,
@@ -144,6 +146,7 @@ def test_avgpool2d_tosa_BI(
         )
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_avgpool2d_tosa_u55_BI(
         self,
         test_name: str,
@@ -157,6 +160,7 @@ def test_avgpool2d_tosa_u55_BI(
         )
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_avgpool2d_tosa_u85_BI(
         self,
         test_name: str,
diff --git a/backends/arm/test/ops/test_bmm.py b/backends/arm/test/ops/test_bmm.py
index e7a9a2a810e..3a3c2772bd5 100644
--- a/backends/arm/test/ops/test_bmm.py
+++ b/backends/arm/test/ops/test_bmm.py
@@ -8,6 +8,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -146,6 +148,7 @@ def test_bmm_single_input_tosa_BI(self, operand1: torch.Tensor):
         self._test_bmm_tosa_BI_pipeline(self.BMMSingleInput(), test_data)
 
     @parameterized.expand(BMM.test_parameters)
+    @pytest.mark.corstone_fvp
     @unittest.expectedFailure
     def test_bmm_u55_BI_xfails(self, operand1: torch.Tensor, operand2: torch.Tensor):
         test_data = (operand1, operand2)
@@ -154,6 +157,7 @@ def test_bmm_u55_BI_xfails(self, operand1: torch.Tensor, operand2: torch.Tensor)
         )
 
     @parameterized.expand(BMM.test_parameters[:1])
+    @pytest.mark.corstone_fvp
     def test_bmm_u85_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         test_data = (operand1, operand2)
         self._test_bmm_ethosu_BI_pipeline(
@@ -161,6 +165,7 @@ def test_bmm_u85_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         )
 
     @parameterized.expand(BMM.test_parameters[1:])
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_bmm_u85_BI_xfails(self, operand1: torch.Tensor, operand2: torch.Tensor):
         test_data = (operand1, operand2)
@@ -170,6 +175,7 @@ def test_bmm_u85_BI_xfails(self, operand1: torch.Tensor, operand2: torch.Tensor)
 
     # Expected to fail with error: Warning, unsupported fusing of TOSA Rescale previous operator is of type: Memcpy
     @parameterized.expand(BMMSingleInput.test_parameters)
+    @pytest.mark.corstone_fvp
     @unittest.expectedFailure
     def test_bmm_single_input_u55_BI_xfails(self, operand1: torch.Tensor):
         test_data = (operand1,)
@@ -178,6 +184,7 @@ def test_bmm_single_input_u55_BI_xfails(self, operand1: torch.Tensor):
         )
 
     @parameterized.expand(BMMSingleInput.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_bmm_single_input_u85_BI(self, operand1: torch.Tensor):
         test_data = (operand1,)
         self._test_bmm_ethosu_BI_pipeline(
diff --git a/backends/arm/test/ops/test_cat.py b/backends/arm/test/ops/test_cat.py
index 674363e991a..115b4402f5b 100644
--- a/backends/arm/test/ops/test_cat.py
+++ b/backends/arm/test/ops/test_cat.py
@@ -9,6 +9,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -134,6 +136,7 @@ def test_cat_tosa_BI(self, operands: tuple[torch.Tensor, ...], dim: int):
 
     # Mismatch in provided number of inputs and model signature, MLETORCH 519
     @parameterized.expand(Cat.test_parameters)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_cat_u55_BI(self, operands: tuple[torch.Tensor, ...], dim: int):
         test_data = (operands, dim)
@@ -143,6 +146,7 @@ def test_cat_u55_BI(self, operands: tuple[torch.Tensor, ...], dim: int):
 
     # Mismatch in provided number of inputs and model signature, MLETORCH 519
     @parameterized.expand(Cat.test_parameters)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_cat_u85_BI(self, operands: tuple[torch.Tensor, ...], dim: int):
         test_data = (operands, dim)
diff --git a/backends/arm/test/ops/test_clone.py b/backends/arm/test/ops/test_clone.py
index 0238d62bb48..2ec2f621fa9 100644
--- a/backends/arm/test/ops/test_clone.py
+++ b/backends/arm/test/ops/test_clone.py
@@ -11,6 +11,8 @@
 import unittest
 from typing import Tuple
 
+import pytest
+
 import torch
 
 from executorch.backends.arm.quantizer.arm_quantizer import (
@@ -122,9 +124,11 @@ def test_clone_tosa_BI(self, test_tensor: torch.Tensor):
         self._test_clone_tosa_BI_pipeline(self.Clone(), (test_tensor,))
 
     @parameterized.expand(Clone.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_clone_u55_BI(self, test_tensor: torch.Tensor):
         self._test_clone_tosa_u55_pipeline(self.Clone(), (test_tensor,))
 
     @parameterized.expand(Clone.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_clone_u85_BI(self, test_tensor: torch.Tensor):
         self._test_clone_tosa_u85_pipeline(self.Clone(), (test_tensor,))
diff --git a/backends/arm/test/ops/test_conv1d.py b/backends/arm/test/ops/test_conv1d.py
index 9a25da8aa12..593260ac56f 100644
--- a/backends/arm/test/ops/test_conv1d.py
+++ b/backends/arm/test/ops/test_conv1d.py
@@ -8,6 +8,8 @@
 
 from typing import List, Optional, Tuple, Union
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -291,6 +293,7 @@ def test_conv1d_tosa_BI(self, test_name, model):
 
     # Expeted to fail as Conv1D requires transpoes which isn't supported on u55
     @parameterized.expand(testsuite)
+    @pytest.mark.corstone_fvp
     @unittest.expectedFailure
     def test_conv1d_u55_BI(self, test_name, model):
         self._test_conv1d_ethosu_BI_pipeline(
@@ -301,6 +304,7 @@ def test_conv1d_u55_BI(self, test_name, model):
     testsuite.remove(("5_3x2x128_st1", conv1d_5_3x2x128_st1))
 
     @parameterized.expand(testsuite)
+    @pytest.mark.corstone_fvp
     def test_conv1d_u85_BI(self, test_name, model):
         self._test_conv1d_ethosu_BI_pipeline(
             model, common.get_u85_compile_spec(), model.get_inputs()
diff --git a/backends/arm/test/ops/test_conv2d.py b/backends/arm/test/ops/test_conv2d.py
index 19e3067344f..9ccac539408 100644
--- a/backends/arm/test/ops/test_conv2d.py
+++ b/backends/arm/test/ops/test_conv2d.py
@@ -8,6 +8,8 @@
 
 from typing import List, Optional, Tuple, Union
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -325,6 +327,7 @@ def test_conv2d_tosa_BI(self, test_name, model):
     testsuite.remove(("5x5_3x2x128x128_st1", conv2d_5x5_3x2x128x128_st1))
 
     @parameterized.expand(testsuite)
+    @pytest.mark.corstone_fvp
     def test_conv2d_u55_BI(self, test_name, model):
         self._test_conv2d_ethosu_BI_pipeline(
             common.get_u55_compile_spec(permute_memory_to_nhwc=True),
@@ -333,6 +336,7 @@ def test_conv2d_u55_BI(self, test_name, model):
         )
 
     @parameterized.expand(testsuite)
+    @pytest.mark.corstone_fvp
     def test_conv2d_u85_BI(self, test_name, model):
         self._test_conv2d_ethosu_BI_pipeline(
             common.get_u85_compile_spec(permute_memory_to_nhwc=True),
diff --git a/backends/arm/test/ops/test_conv_combos.py b/backends/arm/test/ops/test_conv_combos.py
index aad16709948..17083b129f0 100644
--- a/backends/arm/test/ops/test_conv_combos.py
+++ b/backends/arm/test/ops/test_conv_combos.py
@@ -267,6 +267,7 @@ def test_conv_meandim_tosa_BI(self):
         model = ComboConv2dMeandim()
         self._test_conv_combo_tosa_BI_pipeline(model, model.get_inputs())
 
+    @pytest.mark.corstone_fvp
     def test_conv_meandim_u55_BI(self):
         model = ComboConv2dMeandim()
         self._test_conv_combo_ethos_BI_pipeline(
@@ -275,6 +276,7 @@ def test_conv_meandim_u55_BI(self):
             model.get_inputs(),
         )
 
+    @pytest.mark.corstone_fvp
     def test_conv_meandim_u85_BI(self):
         model = ComboConv2dMeandim()
         self._test_conv_combo_ethos_BI_pipeline(
@@ -294,12 +296,14 @@ def test_conv_batchnorm_relu6_tosa_BI(self):
         model = ComboConvBatchnormRelu6()
         self._test_conv_combo_tosa_BI_pipeline(model, model.get_inputs())
 
+    @pytest.mark.corstone_fvp
     def test_conv_batchnorm_relu6_u55_BI(self):
         model = ComboConvBatchnormRelu6()
         self._test_conv_combo_ethos_BI_pipeline(
             model, common.get_u55_compile_spec(), model.get_inputs()
         )
 
+    @pytest.mark.corstone_fvp
     def test_conv_batchnorm_relu_u85_BI(self):
         model = ComboConvBatchnormRelu6()
         self._test_conv_combo_ethos_BI_pipeline(
@@ -324,6 +328,7 @@ def test_conv_relu6_tosa_BI(self, test_data: torch.Tensor):
         self._test_conv_combo_tosa_BI_pipeline(model, test_data)
 
     @parameterized.expand(ComboConvRelu6.test_data)
+    @pytest.mark.corstone_fvp
     def test_conv_relu6_u55_BI(self, test_data: torch.Tensor):
         model = ComboConvRelu6()
         test_data = (test_data,)
@@ -332,6 +337,7 @@ def test_conv_relu6_u55_BI(self, test_data: torch.Tensor):
         )
 
     @parameterized.expand(ComboConvRelu6.test_data)
+    @pytest.mark.corstone_fvp
     def test_conv_relu6_u85_BI(self, test_data: torch.Tensor):
         model = ComboConvRelu6()
         test_data = (test_data,)
@@ -347,11 +353,12 @@ def test_block_bottleneck_residual_tosa_MI(self):
         self._test_conv_combo_tosa_MI_pipeline(model, model.get_inputs())
 
     # TODO: Investigate flakyness (MLTORCH-307)
-    @pytest.mark.flaky(reruns=3)
+    @unittest.skip(reason="Skiped due to flakyness (MLTORCH-307)")
     def test_block_bottleneck_residual_tosa_BI(self):
         model = ComboBlockBottleneckResidual()
         self._test_conv_combo_tosa_BI_pipeline(model, model.get_inputs())
 
+    @pytest.mark.corstone_fvp
     def test_block_bottleneck_residual_u55_BI(self):
         model = ComboBlockBottleneckResidual()
         self._test_conv_combo_ethos_BI_pipeline(
@@ -360,6 +367,7 @@ def test_block_bottleneck_residual_u55_BI(self):
             model.get_inputs(),
         )
 
+    @pytest.mark.corstone_fvp
     def test_block_bottleneck_residual_u85_BI(self):
         model = ComboBlockBottleneckResidual()
         self._test_conv_combo_ethos_BI_pipeline(
@@ -384,6 +392,7 @@ def test_conv_avgpool2d_tosa_BI(self, test_data: torch.Tensor):
         self._test_conv_combo_tosa_BI_pipeline(model, test_data)
 
     @parameterized.expand(ComboConvAvgPool2d.test_data)
+    @pytest.mark.corstone_fvp
     def test_conv_avgpool2d_u55_BI(self, test_data: torch.Tensor):
         model = ComboConvAvgPool2d()
         test_data = (test_data,)
@@ -394,6 +403,7 @@ def test_conv_avgpool2d_u55_BI(self, test_data: torch.Tensor):
         )
 
     @parameterized.expand(ComboConvAvgPool2d.test_data)
+    @pytest.mark.corstone_fvp
     def test_conv_avgpool2d_u85_BI(self, test_data: torch.Tensor):
         model = ComboConvAvgPool2d()
         test_data = (test_data,)
diff --git a/backends/arm/test/ops/test_depthwise_conv.py b/backends/arm/test/ops/test_depthwise_conv.py
index 5419332c378..3ce75840864 100644
--- a/backends/arm/test/ops/test_depthwise_conv.py
+++ b/backends/arm/test/ops/test_depthwise_conv.py
@@ -8,6 +8,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.ops.test_conv1d import Conv1d
@@ -260,6 +262,7 @@ def test_dw_conv_tosa_BI(self, test_name: str, model: torch.nn.Module):
     )  # Works
 
     @parameterized.expand(testsuite_conv2d, skip_on_empty=True)
+    @pytest.mark.corstone_fvp
     @unittest.expectedFailure
     def test_dw_conv2d_u55_BI(
         self, test_name: str, model: torch.nn.Module, set_quantize_io: bool = False
@@ -275,6 +278,7 @@ def test_dw_conv2d_u55_BI(
     # Expected to fail as conv1d needs transpose which is not supported
     # on u55.
     @parameterized.expand(testsuite_conv1d, skip_on_empty=True)
+    @pytest.mark.corstone_fvp
     @unittest.expectedFailure
     def test_dw_conv1d_u55_BI(
         self, test_name: str, model: torch.nn.Module, set_quantize_io: bool = False
@@ -288,6 +292,7 @@ def test_dw_conv1d_u55_BI(
         )
 
     @parameterized.expand(testsuite_conv1d + testsuite_conv2d_u85)
+    @pytest.mark.corstone_fvp
     def test_dw_conv_u85_BI(
         self, test_name: str, model: torch.nn.Module, set_quantize_io: bool = False
     ):
@@ -301,6 +306,7 @@ def test_dw_conv_u85_BI(
 
     # All test cases except 3x3_1x3x256x256_gp3_st1 have numerical issues on FVP. MLETORCH-520
     @parameterized.expand(testsuite_conv2d_u85_xfails)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_dw_conv_u85_BI_xfails(
         self, test_name: str, model: torch.nn.Module, set_quantize_io: bool = False
diff --git a/backends/arm/test/ops/test_div.py b/backends/arm/test/ops/test_div.py
index c28ba3acdf3..d5f61744692 100644
--- a/backends/arm/test/ops/test_div.py
+++ b/backends/arm/test/ops/test_div.py
@@ -10,6 +10,8 @@
 
 from typing import Optional, Tuple, Union
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -184,6 +186,7 @@ def test_div_tosa_BI(
         self._test_div_tosa_BI_pipeline(self.Div(), test_data)
 
     @parameterized.expand(test_data_suite[:2])
+    @pytest.mark.corstone_fvp
     def test_div_u55_BI(
         self,
         test_name: str,
@@ -198,6 +201,7 @@ def test_div_u55_BI(
 
     # Numerical issues on FVP likely due to mul op, MLETORCH-521
     @parameterized.expand(test_data_suite[2:])
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_div_u55_BI_xfails(
         self,
@@ -212,6 +216,7 @@ def test_div_u55_BI_xfails(
         )
 
     @parameterized.expand(test_data_suite[:2])
+    @pytest.mark.corstone_fvp
     def test_div_u85_BI(
         self,
         test_name: str,
@@ -226,6 +231,7 @@ def test_div_u85_BI(
 
     # Numerical issues on FVP likely due to mul op, MLETORCH-521
     @parameterized.expand(test_data_suite[2:])
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_div_u85_BI_xfails(
         self,
diff --git a/backends/arm/test/ops/test_exp.py b/backends/arm/test/ops/test_exp.py
index 0bbd5097c31..3fa9f8c99fa 100644
--- a/backends/arm/test/ops/test_exp.py
+++ b/backends/arm/test/ops/test_exp.py
@@ -9,6 +9,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -111,12 +113,14 @@ def test_exp_tosa_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_exp_tosa_BI_pipeline(self.Exp(), (test_data,))
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_exp_tosa_u55_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_exp_ethosu_BI_pipeline(
             common.get_u55_compile_spec(), self.Exp(), (test_data,)
         )
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_exp_tosa_u85_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_exp_ethosu_BI_pipeline(
             common.get_u85_compile_spec(), self.Exp(), (test_data,)
diff --git a/backends/arm/test/ops/test_expand.py b/backends/arm/test/ops/test_expand.py
index bd6b74d77b0..084eec138f9 100644
--- a/backends/arm/test/ops/test_expand.py
+++ b/backends/arm/test/ops/test_expand.py
@@ -9,8 +9,11 @@
 #
 
 import unittest
+
 from typing import Sequence, Tuple
 
+import pytest
+
 import torch
 
 from executorch.backends.arm.quantizer.arm_quantizer import (
@@ -111,6 +114,7 @@ def test_expand_tosa_BI(self, test_input, multiples):
 
     # Mismatch in provided number of inputs and model signature, MLETORCH 519
     @parameterized.expand(Expand.test_parameters)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_expand_u55_BI(self, test_input, multiples):
         self._test_expand_ethosu_BI_pipeline(
@@ -119,6 +123,7 @@ def test_expand_u55_BI(self, test_input, multiples):
 
     # Mismatch in provided number of inputs and model signature, MLETORCH 519
     @parameterized.expand(Expand.test_parameters)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_expand_u85_BI(self, test_input, multiples):
         self._test_expand_ethosu_BI_pipeline(
diff --git a/backends/arm/test/ops/test_full.py b/backends/arm/test/ops/test_full.py
index 0c8afe1390b..1b6d6e6ae39 100644
--- a/backends/arm/test/ops/test_full.py
+++ b/backends/arm/test/ops/test_full.py
@@ -10,8 +10,11 @@
 #
 
 import unittest
+
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -145,6 +148,7 @@ def test_full_tosa_BI(self, test_tensor: Tuple):
 
     # Mismatch in provided number of inputs and model signature, MLETORCH 519
     @parameterized.expand(AddVariableFull.test_parameters)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_full_u55_BI(self, test_tensor: Tuple):
         self._test_full_tosa_u55_pipeline(
@@ -154,6 +158,7 @@ def test_full_u55_BI(self, test_tensor: Tuple):
 
     # Mismatch in provided number of inputs and model signature, MLETORCH 519
     @parameterized.expand(AddVariableFull.test_parameters)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_full_u85_BI(self, test_tensor: Tuple):
         self._test_full_tosa_u85_pipeline(
diff --git a/backends/arm/test/ops/test_hardtanh.py b/backends/arm/test/ops/test_hardtanh.py
index 65d5ca92b26..7125920c8c9 100644
--- a/backends/arm/test/ops/test_hardtanh.py
+++ b/backends/arm/test/ops/test_hardtanh.py
@@ -6,8 +6,11 @@
 # LICENSE file in the root directory of this source tree.
 
 import unittest
+
 from typing import Tuple
 
+import pytest
+
 import torch
 
 from executorch.backends.arm.quantizer.arm_quantizer import (
@@ -124,12 +127,14 @@ def test_hardtanh_tosa_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_hardtanh_tosa_BI_pipeline(self.HardTanh(), (test_data,))
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_hardtanh_tosa_u55_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_hardtanh_tosa_ethosu_BI_pipeline(
             common.get_u55_compile_spec(), self.HardTanh(), (test_data,)
         )
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_hardtanh_tosa_u85_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_hardtanh_tosa_ethosu_BI_pipeline(
             common.get_u85_compile_spec(), self.HardTanh(), (test_data,)
diff --git a/backends/arm/test/ops/test_layer_norm.py b/backends/arm/test/ops/test_layer_norm.py
index a1c17475ad5..2d88421fb56 100644
--- a/backends/arm/test/ops/test_layer_norm.py
+++ b/backends/arm/test/ops/test_layer_norm.py
@@ -5,8 +5,11 @@
 # LICENSE file in the root directory of this source tree.
 
 import unittest
+
 from typing import List, Tuple, Union
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -158,6 +161,7 @@ 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)
+    @pytest.mark.corstone_fvp
     @unittest.expectedFailure
     def test_layer_norm_u55_BI_xfails(
         self,
@@ -171,6 +175,7 @@ def test_layer_norm_u55_BI_xfails(
 
     # Numerical issues on FVP likely due to mul op, MLETORCH-521
     @parameterized.expand(test_data_suite[:-2])
+    @pytest.mark.corstone_fvp
     @unittest.expectedFailure
     def test_layer_norm_u85_BI_xfails(
         self,
@@ -183,6 +188,7 @@ def test_layer_norm_u85_BI_xfails(
         )
 
     @parameterized.expand(test_data_suite[-2:])
+    @pytest.mark.corstone_fvp
     def test_layer_norm_u85_BI(
         self,
         test_name: str,
diff --git a/backends/arm/test/ops/test_linear.py b/backends/arm/test/ops/test_linear.py
index 4385ca9864a..cd14b7801d2 100644
--- a/backends/arm/test/ops/test_linear.py
+++ b/backends/arm/test/ops/test_linear.py
@@ -10,6 +10,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 
@@ -228,6 +230,7 @@ def test_linear_tosa_BI(
         )
 
     @parameterized.expand(test_data_suite_rank1)
+    @pytest.mark.corstone_fvp
     def test_linear_tosa_u55_BI(
         self,
         test_name: str,
diff --git a/backends/arm/test/ops/test_log.py b/backends/arm/test/ops/test_log.py
index f9c34b1ff5e..0226a62328b 100644
--- a/backends/arm/test/ops/test_log.py
+++ b/backends/arm/test/ops/test_log.py
@@ -9,6 +9,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -111,12 +113,14 @@ def test_log_tosa_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_log_tosa_BI_pipeline(self.Log(), (test_data,))
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_log_tosa_u55_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_log_ethosu_BI_pipeline(
             common.get_u55_compile_spec(), self.Log(), (test_data,)
         )
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_log_tosa_u85_BI(self, test_name: str, test_data: torch.Tensor):
         self._test_log_ethosu_BI_pipeline(
             common.get_u85_compile_spec(), self.Log(), (test_data,)
diff --git a/backends/arm/test/ops/test_max_pool.py b/backends/arm/test/ops/test_max_pool.py
index ed2a3743198..a693c7d5497 100644
--- a/backends/arm/test/ops/test_max_pool.py
+++ b/backends/arm/test/ops/test_max_pool.py
@@ -10,6 +10,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.quantizer.arm_quantizer import (
     ArmQuantizer,
@@ -160,6 +162,7 @@ def test_maxpool2d_tosa_BI(
         )
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_maxpool2d_tosa_u55_BI(
         self,
         test_name: str,
@@ -177,6 +180,7 @@ def test_maxpool2d_tosa_u55_BI(
             )
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_maxpool2d_tosa_u85_BI(
         self,
         test_name: str,
@@ -216,6 +220,7 @@ def test_maxpool2d_tosa_BI_mult_batches(
         )
 
     @parameterized.expand(test_data_suite_mult_batches)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP  # TODO: MLETORCH-433
     def test_maxpool2d_tosa_u55_BI_mult_batches(
         self,
@@ -234,6 +239,7 @@ def test_maxpool2d_tosa_u55_BI_mult_batches(
             )
 
     @parameterized.expand(test_data_suite_mult_batches)
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP  # TODO: MLETORCH-433
     def test_maxpool2d_tosa_u85_BI_mult_batches(
         self,
diff --git a/backends/arm/test/ops/test_mul.py b/backends/arm/test/ops/test_mul.py
index e18efc31a3b..9d789a8e336 100644
--- a/backends/arm/test/ops/test_mul.py
+++ b/backends/arm/test/ops/test_mul.py
@@ -7,6 +7,8 @@
 
 import unittest
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -153,6 +155,7 @@ def test_mul_tosa_BI(
         self._test_mul_tosa_BI_pipeline(self.Mul(), test_data)
 
     @parameterized.expand(test_data_sute)
+    @pytest.mark.corstone_fvp
     def test_mul_u55_BI(
         self,
         test_name: str,
@@ -165,6 +168,7 @@ def test_mul_u55_BI(
         )
 
     @parameterized.expand(test_data_sute)
+    @pytest.mark.corstone_fvp
     def test_mul_u85_BI(
         self,
         test_name: str,
diff --git a/backends/arm/test/ops/test_permute.py b/backends/arm/test/ops/test_permute.py
index 72dd82f7262..b373af1401b 100644
--- a/backends/arm/test/ops/test_permute.py
+++ b/backends/arm/test/ops/test_permute.py
@@ -6,8 +6,11 @@
 # LICENSE file in the root directory of this source tree.
 
 import unittest
+
 from typing import Tuple
 
+import pytest
+
 import torch
 
 from executorch.backends.arm.quantizer.arm_quantizer import (
@@ -137,6 +140,7 @@ def test_permute_tosa_BI(
 
     # Expected to fail as TOSA.Transpose is not supported by Ethos-U55.
     @parameterized.expand(test_data_suite[0:1])
+    @pytest.mark.corstone_fvp
     @unittest.expectedFailure
     def test_permute_u55_BI(
         self, test_name: str, test_data: torch.Tensor, dims: list[int]
@@ -146,6 +150,7 @@ def test_permute_u55_BI(
         )
 
     @parameterized.expand(test_data_suite[:-2])
+    @pytest.mark.corstone_fvp
     def test_permute_u85_BI(
         self, test_name: str, test_data: torch.Tensor, dims: list[int]
     ):
@@ -155,6 +160,7 @@ def test_permute_u85_BI(
 
     # Fails since on FVP since N > 1 is not supported. MLETORCH-517
     @parameterized.expand(test_data_suite[-2:])
+    @pytest.mark.corstone_fvp
     @conftest.expectedFailureOnFVP
     def test_permute_u85_BI_xfails(
         self, test_name: str, test_data: torch.Tensor, dims: list[int]
diff --git a/backends/arm/test/ops/test_reciprocal.py b/backends/arm/test/ops/test_reciprocal.py
index ccee3d39619..b3233d02a92 100644
--- a/backends/arm/test/ops/test_reciprocal.py
+++ b/backends/arm/test/ops/test_reciprocal.py
@@ -6,6 +6,8 @@
 
 import unittest
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -112,6 +114,7 @@ def test_reciprocal_tosa_BI(self, test_name: str, input_: torch.Tensor):
         self._test_reciprocal_tosa_BI_pipeline(self.Reciprocal(), test_data)
 
     @parameterized.expand(test_data_suite)
+    @pytest.mark.corstone_fvp
     def test_reciprocal_u55_BI(self, test_name: str, input_: torch.Tensor):
         test_data = (input_,)
         self._test_reciprocal_u55_BI_pipeline(self.Reciprocal(), test_data)
diff --git a/backends/arm/test/ops/test_sub.py b/backends/arm/test/ops/test_sub.py
index 851516753da..0812f8a47a1 100644
--- a/backends/arm/test/ops/test_sub.py
+++ b/backends/arm/test/ops/test_sub.py
@@ -9,6 +9,8 @@
 
 from typing import Tuple
 
+import pytest
+
 import torch
 from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.arm_tester import ArmTester
@@ -111,6 +113,7 @@ def test_sub_tosa_BI(self, test_data: torch.Tensor):
         self._test_sub_tosa_BI_pipeline(self.Sub(), test_data)
 
     @parameterized.expand(Sub.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_sub_u55_BI(self, test_data: torch.Tensor):
         test_data = (test_data,)
         self._test_sub_ethosu_BI_pipeline(
@@ -118,6 +121,7 @@ def test_sub_u55_BI(self, test_data: torch.Tensor):
         )
 
     @parameterized.expand(Sub.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_sub_u85_BI(self, test_data: torch.Tensor):
         test_data = (test_data,)
         self._test_sub_ethosu_BI_pipeline(
@@ -135,6 +139,7 @@ def test_sub2_tosa_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         self._test_sub_tosa_BI_pipeline(self.Sub2(), test_data)
 
     @parameterized.expand(Sub2.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_sub2_u55_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         test_data = (operand1, operand2)
         self._test_sub_ethosu_BI_pipeline(
@@ -142,6 +147,7 @@ def test_sub2_u55_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         )
 
     @parameterized.expand(Sub2.test_parameters)
+    @pytest.mark.corstone_fvp
     def test_sub2_u85_BI(self, operand1: torch.Tensor, operand2: torch.Tensor):
         test_data = (operand1, operand2)
         self._test_sub_ethosu_BI_pipeline(
diff --git a/backends/arm/test/pytest.ini b/backends/arm/test/pytest.ini
new file mode 100644
index 00000000000..3af1f0d0971
--- /dev/null
+++ b/backends/arm/test/pytest.ini
@@ -0,0 +1,5 @@
+[pytest]
+addopts = --strict-markers
+markers =
+    slow: Tests that take long time
+    corstone_fvp: Tests that use Corstone300 or Corstone320 FVP
\ No newline at end of file