diff --git a/backends/arm/_passes/conv1d_unsqueeze_pass.py b/backends/arm/_passes/conv1d_unsqueeze_pass.py
index 591a14c455b..7bc86a4fcf2 100644
--- a/backends/arm/_passes/conv1d_unsqueeze_pass.py
+++ b/backends/arm/_passes/conv1d_unsqueeze_pass.py
@@ -7,6 +7,7 @@
 
 from typing import Set, Type
 
+from executorch.backends.arm._passes import ArmOpTargetedPass
 from executorch.backends.arm._passes.convert_squeezes_to_view import (
     ConvertSqueezesToViewPass,
 )
@@ -15,10 +16,11 @@
 from executorch.backends.transforms.convert_conv1d_to_conv2d_pass import (
     ConvertConv1dToConv2dPass,
 )
+from executorch.exir.dialects._ops import ops as exir_ops
 from executorch.exir.pass_base import ExportPass
 
 
-class Conv1dUnsqueezePass(ConvertConv1dToConv2dPass):
+class Conv1dUnsqueezePass(ConvertConv1dToConv2dPass, ArmOpTargetedPass):
     """Arm wrapper for the shared Conv1d-to-Conv2d transform."""
 
     _passes_required_after: Set[Type[ExportPass]] = {
@@ -26,3 +28,4 @@ class Conv1dUnsqueezePass(ConvertConv1dToConv2dPass):
         RewriteConvPass,
         SizeAdjustInputPass,
     }
+    target_ops = (exir_ops.edge.aten.convolution.default,)
diff --git a/backends/arm/test/ops/test_conv1d.py b/backends/arm/test/ops/test_conv1d.py
index 5fcdcf50465..3a1713a9548 100644
--- a/backends/arm/test/ops/test_conv1d.py
+++ b/backends/arm/test/ops/test_conv1d.py
@@ -118,6 +118,11 @@ def forward(self, x):
         return x
 
 
+class Conv1dWithLeakyReLU(Conv1d):
+    def forward(self, x):
+        return torch.nn.functional.leaky_relu(super().forward(x), negative_slope=0.0)
+
+
 conv1d_2_3x2x40_nobias = Conv1d(
     in_channels=2,
     out_channels=3,
@@ -327,6 +332,18 @@ def test_convolution_1d_tosa_INT(test_data):
     pipeline.run()
 
 
+def test_convolution_1d_with_leaky_relu_tosa_INT():
+    model = Conv1dWithLeakyReLU()
+    pipeline = TosaPipelineINT[input_t](
+        model,
+        model.get_inputs(),
+        [aten_op, "torch.ops.aten.leaky_relu.default"],
+        [exir_op, "executorch_exir_dialects_edge__ops_aten_leaky_relu_default"],
+        qtol=1,
+    )
+    pipeline.run()
+
+
 @common.parametrize("test_data", test_data_INT)
 @common.XfailIfNoCorstone300
 def test_convolution_1d_u55_INT(test_data):