diff --git a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
index 3e2be8a346..83a8d94ba5 100644
--- a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
@@ -640,7 +640,7 @@ void EvaluatePreparedModel(const sp<IDevice>& device, const sp<IPreparedModel>&
             if (result != ErrorStatus::NONE) {
                 ASSERT_EQ(syncFenceHandle.getNativeHandle(), nullptr);
                 ASSERT_EQ(fencedCallback, nullptr);
-                executionStatus = ErrorStatus::GENERAL_FAILURE;
+                executionStatus = result;
             } else if (syncFenceHandle.getNativeHandle()) {
                 // If a sync fence is returned, try start another run waiting for the sync fence.
                 ret = preparedModel->executeFenced(request, {syncFenceHandle},
@@ -663,9 +663,7 @@ void EvaluatePreparedModel(const sp<IDevice>& device, const sp<IPreparedModel>&
         }
     }
 
-    // The driver is allowed to reject executeFenced, and if they do, we should skip.
-    if ((testConfig.outputType != OutputType::FULLY_SPECIFIED ||
-         testConfig.executor == Executor::FENCED) &&
+    if (testConfig.outputType != OutputType::FULLY_SPECIFIED &&
         executionStatus == ErrorStatus::GENERAL_FAILURE) {
         if (skipped != nullptr) {
             *skipped = true;
@@ -698,12 +696,22 @@ void EvaluatePreparedModel(const sp<IDevice>& device, const sp<IPreparedModel>&
                         outputShapes.size() == testModel.main.outputIndexes.size());
             break;
         case OutputType::UNSPECIFIED:
+            if (testConfig.executor == Executor::FENCED) {
+                // For Executor::FENCED, the output shape must be fully specified.
+                ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionStatus);
+                return;
+            }
             // If the model output operands are not fully specified, outputShapes must have
             // the same number of elements as the number of outputs.
             ASSERT_EQ(ErrorStatus::NONE, executionStatus);
             ASSERT_EQ(outputShapes.size(), testModel.main.outputIndexes.size());
             break;
         case OutputType::INSUFFICIENT:
+            if (testConfig.executor == Executor::FENCED) {
+                // For Executor::FENCED, the output shape must be fully specified.
+                ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionStatus);
+                return;
+            }
             ASSERT_EQ(ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, executionStatus);
             ASSERT_EQ(outputShapes.size(), testModel.main.outputIndexes.size());
             ASSERT_FALSE(outputShapes[0].isSufficient);
@@ -746,7 +754,7 @@ void EvaluatePreparedModel(const sp<IDevice>& device, const sp<IPreparedModel>&
         case TestKind::DYNAMIC_SHAPE: {
             outputTypesList = {OutputType::UNSPECIFIED, OutputType::INSUFFICIENT};
             measureTimingList = {MeasureTiming::NO, MeasureTiming::YES};
-            executorList = {Executor::ASYNC, Executor::SYNC, Executor::BURST};
+            executorList = {Executor::ASYNC, Executor::SYNC, Executor::BURST, Executor::FENCED};
         } break;
         case TestKind::MEMORY_DOMAIN: {
             outputTypesList = {OutputType::FULLY_SPECIFIED};
@@ -928,8 +936,13 @@ INSTANTIATE_GENERATED_TEST(DynamicOutputShapeTest, [](const TestModel& testModel
 INSTANTIATE_GENERATED_TEST(MemoryDomainTest,
                            [](const TestModel& testModel) { return !testModel.expectFailure; });
 
-INSTANTIATE_GENERATED_TEST(FencedComputeTest,
-                           [](const TestModel& testModel) { return !testModel.expectFailure; });
+INSTANTIATE_GENERATED_TEST(FencedComputeTest, [](const TestModel& testModel) {
+    return !testModel.expectFailure &&
+           std::all_of(testModel.main.outputIndexes.begin(), testModel.main.outputIndexes.end(),
+                       [&testModel](uint32_t index) {
+                           return testModel.main.operands[index].data.size() > 0;
+                       });
+});
 
 INSTANTIATE_GENERATED_TEST(QuantizationCouplingTest, [](const TestModel& testModel) {
     return testModel.hasQuant8CoupledOperands() && testModel.main.operations.size() == 1;