diff --git a/backends/test/suite/runner.py b/backends/test/suite/runner.py
index 1f84db9c730..a2dd3bcf49b 100644
--- a/backends/test/suite/runner.py
+++ b/backends/test/suite/runner.py
@@ -15,6 +15,7 @@
 UNSUPPORTED_PORTABLE_OPS = {
     "aten::_embedding_bag",
     "aten::_adaptive_avg_pool2d",
+    "aten::adaptive_max_pool2d",
     "aten::median",
     "aten::median.dim",
     "aten::round.decimals",
@@ -34,6 +35,7 @@
     TestResult,
 )
 from executorch.exir import EdgeProgramManager
+from executorch.exir.dialects._ops import ops as exir_ops
 
 
 # A list of all runnable test suites and the corresponding python package.
@@ -43,6 +45,24 @@
 }
 
 
+def _graph_has_unsupported_patterns(program: torch.export.ExportedProgram) -> bool:
+    # Returns true if the model contains patterns that will fail when running on the ET
+    # portable kernel library.
+
+    # Check for 3d convolutions. All convs (1d, 2d, 3d) use the same op, so we need to look at
+    # the input meta to determine the rank.
+    for node in program.graph.nodes:
+        if (
+            node.op == "call_function"
+            and node.target == exir_ops.edge.aten.convolution.default
+        ):
+            in_rank = node.args[0].meta["val"].dim()
+            if in_rank != 4:
+                return True
+
+    return False
+
+
 def _get_test_seed(test_base_name: str) -> int:
     # Set the seed based on the test base name to give consistent inputs between backends. Add the
     # run seed to allow for reproducible results, but still allow for run-to-run variation.
@@ -162,7 +182,7 @@ def build_result(
     # Check if any undelegated ops are in the unsupported ops set.
     has_unsupported_ops = any(
         op in UNSUPPORTED_PORTABLE_OPS for op in undelegated_op_counts.keys()
-    )
+    ) or _graph_has_unsupported_patterns(edge_manager._etrecord.edge_dialect_program)
 
     # Skip the test if there are unsupported portable ops remaining.
     if has_unsupported_ops: