diff --git a/neuralnetworks/1.1/vts/functional/ValidateModel.cpp b/neuralnetworks/1.1/vts/functional/ValidateModel.cpp
index 7a20e26..3aa55f8 100644
--- a/neuralnetworks/1.1/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.1/vts/functional/ValidateModel.cpp
@@ -50,13 +50,13 @@
 }
 
 static void validatePrepareModel(const sp<IDevice>& device, const std::string& message,
-                                 const V1_1::Model& model) {
+                                 const V1_1::Model& model, ExecutionPreference preference) {
     SCOPED_TRACE(message + " [prepareModel_1_1]");
 
     sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
     ASSERT_NE(nullptr, preparedModelCallback.get());
     Return<ErrorStatus> prepareLaunchStatus =
-        device->prepareModel_1_1(model, preparedModelCallback);
+        device->prepareModel_1_1(model, preference, preparedModelCallback);
     ASSERT_TRUE(prepareLaunchStatus.isOk());
     ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(prepareLaunchStatus));
 
@@ -67,15 +67,24 @@
     ASSERT_EQ(nullptr, preparedModel.get());
 }
 
+static bool validExecutionPreference(ExecutionPreference preference) {
+    return preference == ExecutionPreference::LOW_POWER ||
+           preference == ExecutionPreference::FAST_SINGLE_ANSWER ||
+           preference == ExecutionPreference::SUSTAINED_SPEED;
+}
+
 // Primary validation function. This function will take a valid model, apply a
 // mutation to it to invalidate the model, then pass it to interface calls that
 // use the model. Note that the model here is passed by value, and any mutation
 // to the model does not leave this function.
 static void validate(const sp<IDevice>& device, const std::string& message, V1_1::Model model,
-                     const std::function<void(Model*)>& mutation) {
+                     const std::function<void(Model*)>& mutation,
+                     ExecutionPreference preference = ExecutionPreference::FAST_SINGLE_ANSWER) {
     mutation(&model);
-    validateGetSupportedOperations(device, message, model);
-    validatePrepareModel(device, message, model);
+    if (validExecutionPreference(preference)) {
+        validateGetSupportedOperations(device, message, model);
+    }
+    validatePrepareModel(device, message, model, preference);
 }
 
 // Delete element from hidl_vec. hidl_vec doesn't support a "remove" operation,
@@ -486,6 +495,22 @@
     }
 }
 
+///////////////////////// VALIDATE EXECUTION PREFERENCE /////////////////////////
+
+static const int32_t invalidExecutionPreferences[] = {
+    static_cast<int32_t>(ExecutionPreference::LOW_POWER) - 1,        // lower bound
+    static_cast<int32_t>(ExecutionPreference::SUSTAINED_SPEED) + 1,  // upper bound
+};
+
+static void mutateExecutionPreferenceTest(const sp<IDevice>& device, const V1_1::Model& model) {
+    for (int32_t preference : invalidExecutionPreferences) {
+        const std::string message =
+            "mutateExecutionPreferenceTest: preference " + std::to_string(preference);
+        validate(device, message, model, [](Model*) {},
+                 static_cast<ExecutionPreference>(preference));
+    }
+}
+
 ////////////////////////// ENTRY POINT //////////////////////////////
 
 void ValidationTest::validateModel(const V1_1::Model& model) {
@@ -503,6 +528,7 @@
     removeOperationOutputTest(device, model);
     addOperationInputTest(device, model);
     addOperationOutputTest(device, model);
+    mutateExecutionPreferenceTest(device, model);
 }
 
 }  // namespace functional
diff --git a/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
index bd96614..b42f561 100644
--- a/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
@@ -60,8 +60,8 @@
     // launch prepare model
     sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
     ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus =
-        device->prepareModel_1_1(model, preparedModelCallback);
+    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_1(
+        model, ExecutionPreference::FAST_SINGLE_ANSWER, preparedModelCallback);
     ASSERT_TRUE(prepareLaunchStatus.isOk());
     ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));