diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Execution.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Execution.h
new file mode 100644
index 0000000..9c66446
--- /dev/null
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Execution.h
@@ -0,0 +1,66 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_H
+
+#include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/ProtectCallback.h>
+
+#include "PreparedModel.h"
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace android::hardware::neuralnetworks::V1_2::utils {
+
+class Execution final : public nn::IExecution, public std::enable_shared_from_this<Execution> {
+    struct PrivateConstructorTag {};
+
+  public:
+    static nn::GeneralResult<std::shared_ptr<const Execution>> create(
+            std::shared_ptr<const PreparedModel> preparedModel, V1_0::Request request,
+            hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure);
+
+    Execution(PrivateConstructorTag tag, std::shared_ptr<const PreparedModel> preparedModel,
+              V1_0::Request request, hal::utils::RequestRelocation relocation,
+              V1_2::MeasureTiming measure);
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+
+  private:
+    const std::shared_ptr<const PreparedModel> kPreparedModel;
+    const V1_0::Request kRequest;
+    const hal::utils::RequestRelocation kRelocation;
+    const MeasureTiming kMeasure;
+};
+
+}  // namespace android::hardware::neuralnetworks::V1_2::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_H
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
index fb11130..35abd79 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
@@ -58,10 +58,18 @@
             const nn::OptionalDuration& loopTimeoutDuration,
             const nn::OptionalDuration& timeoutDurationAfterFence) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
 
     std::any getUnderlyingResource() const override;
 
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeInternal(
+            const V1_0::Request& request, MeasureTiming measure,
+            const hal::utils::RequestRelocation& relocation) const;
+
   private:
     nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeSynchronously(
             const V1_0::Request& request, MeasureTiming measure) const;
diff --git a/neuralnetworks/1.2/utils/src/Execution.cpp b/neuralnetworks/1.2/utils/src/Execution.cpp
new file mode 100644
index 0000000..18d1c90
--- /dev/null
+++ b/neuralnetworks/1.2/utils/src/Execution.cpp
@@ -0,0 +1,74 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Execution.h"
+
+#include "Callbacks.h"
+#include "Conversions.h"
+#include "Utils.h"
+
+#include <android/hardware/neuralnetworks/1.0/types.h>
+#include <android/hardware/neuralnetworks/1.1/types.h>
+#include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
+#include <android/hardware/neuralnetworks/1.2/types.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace android::hardware::neuralnetworks::V1_2::utils {
+
+nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create(
+        std::shared_ptr<const PreparedModel> preparedModel, V1_0::Request request,
+        hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure) {
+    if (preparedModel == nullptr) {
+        return NN_ERROR() << "V1_2::utils::Execution::create must have non-null preparedModel";
+    }
+
+    return std::make_shared<const Execution>(PrivateConstructorTag{}, std::move(preparedModel),
+                                             std::move(request), std::move(relocation), measure);
+}
+
+Execution::Execution(PrivateConstructorTag /*tag*/,
+                     std::shared_ptr<const PreparedModel> preparedModel, V1_0::Request request,
+                     hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure)
+    : kPreparedModel(std::move(preparedModel)),
+      kRequest(std::move(request)),
+      kRelocation(std::move(relocation)),
+      kMeasure(measure) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
+        const nn::OptionalTimePoint& /*deadline*/) const {
+    return kPreparedModel->executeInternal(kRequest, kMeasure, kRelocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> Execution::computeFenced(
+        const std::vector<nn::SyncFence>& /*waitFor*/, const nn::OptionalTimePoint& /*deadline*/,
+        const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
+    return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+           << "IExecution::computeFenced is not supported on 1.2 HAL service";
+}
+
+}  // namespace android::hardware::neuralnetworks::V1_2::utils
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index b209a44..e01401b 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -18,6 +18,7 @@
 
 #include "Callbacks.h"
 #include "Conversions.h"
+#include "Execution.h"
 #include "ExecutionBurstController.h"
 #include "ExecutionBurstUtils.h"
 #include "Utils.h"
@@ -93,19 +94,31 @@
         const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared =
+            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
+                    &request, &maybeRequestInShared, &relocation)));
 
     const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
     const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
 
-    auto result = kExecuteSynchronously ? executeSynchronously(hidlRequest, hidlMeasure)
-                                        : executeAsynchronously(hidlRequest, hidlMeasure);
+    return executeInternal(hidlRequest, hidlMeasure, relocation);
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+PreparedModel::executeInternal(const V1_0::Request& request, MeasureTiming measure,
+                               const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
+
+    auto result = kExecuteSynchronously ? executeSynchronously(request, measure)
+                                        : executeAsynchronously(request, measure);
     auto [outputShapes, timing] = NN_TRY(std::move(result));
 
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return std::make_pair(std::move(outputShapes), timing);
 }
 
@@ -120,6 +133,21 @@
            << "IPreparedModel::executeFenced is not supported on 1.2 HAL service";
 }
 
+nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+    // Ensure that request is ready for IPC.
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, &maybeRequestInShared, &relocation));
+
+    auto hidlRequest = NN_TRY(convert(requestInShared));
+    auto hidlMeasure = NN_TRY(convert(measure));
+    return Execution::create(shared_from_this(), std::move(hidlRequest), std::move(relocation),
+                             hidlMeasure);
+}
+
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
     auto self = shared_from_this();
     auto fallback = [preparedModel = std::move(self)](
diff --git a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
index d297b1a..5e2ad79 100644
--- a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
@@ -21,6 +21,7 @@
 #include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
+#include <nnapi/IExecution.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
@@ -334,6 +335,248 @@
     EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
 }
 
+TEST(PreparedModelTest, reusableExecuteSync) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(
+                    Invoke(makeExecuteSynchronously(V1_0::ErrorStatus::NONE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->compute({});
+        EXPECT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _))
+            .Times(1)
+            .WillOnce(Invoke(
+                    makeExecuteSynchronously(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncDeadObject) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsync) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(Invoke(makeExecuteAsynchronously(
+                    V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::NONE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->compute({});
+        EXPECT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncLaunchError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeExecuteAsynchronously(V1_0::ErrorStatus::GENERAL_FAILURE,
+                                                       V1_0::ErrorStatus::GENERAL_FAILURE, {},
+                                                       kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncReturnError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeExecuteAsynchronously(
+                    V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncDeadObject) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncCrash) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    const auto ret = [&mockPreparedModel]() -> hardware::Return<V1_0::ErrorStatus> {
+        mockPreparedModel->simulateCrash();
+        return V1_0::ErrorStatus::NONE;
+    };
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _)).Times(1).WillOnce(InvokeWithoutArgs(ret));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedNotSupported) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
 TEST(PreparedModelTest, configureExecutionBurst) {
     // setup test
     const auto mockPreparedModel = MockPreparedModel::create();