diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Execution.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Execution.h
new file mode 100644
index 0000000..a77ea98
--- /dev/null
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Execution.h
@@ -0,0 +1,65 @@
+/*
+ * 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_AIDL_UTILS_EXECUTION_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_EXECUTION_H
+
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.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 aidl::android::hardware::neuralnetworks::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, Request request,
+            hal::utils::RequestRelocation relocation, bool measure, int64_t loopTimeoutDuration);
+
+    Execution(PrivateConstructorTag tag, std::shared_ptr<const PreparedModel> preparedModel,
+              Request request, hal::utils::RequestRelocation relocation, bool measure,
+              int64_t loopTimeoutDuration);
+
+    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 Request kRequest;
+    const hal::utils::RequestRelocation kRelocation;
+    const bool kMeasure;
+    const int64_t kLoopTimeoutDuration;
+};
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_EXECUTION_H
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
index abce6cc..4035764 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
@@ -18,6 +18,7 @@
 #define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_PREPARED_MODEL_H
 
 #include <aidl/android/hardware/neuralnetworks/IPreparedModel.h>
+#include <aidl/android/hardware/neuralnetworks/Request.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
@@ -34,7 +35,8 @@
 namespace aidl::android::hardware::neuralnetworks::utils {
 
 // Class that adapts aidl_hal::IPreparedModel to nn::IPreparedModel.
-class PreparedModel final : public nn::IPreparedModel {
+class PreparedModel final : public nn::IPreparedModel,
+                            public std::enable_shared_from_this<PreparedModel> {
     struct PrivateConstructorTag {};
 
   public:
@@ -55,10 +57,25 @@
             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 Request& request, bool measure, int64_t deadline, int64_t loopTimeoutDuration,
+            const hal::utils::RequestRelocation& relocation) const;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+    executeFencedInternal(const Request& request,
+                          const std::vector<ndk::ScopedFileDescriptor>& waitFor, bool measure,
+                          int64_t deadline, int64_t loopTimeoutDuration,
+                          int64_t timeoutDurationAfterFence,
+                          const hal::utils::RequestRelocation& relocation) const;
+
   private:
     const std::shared_ptr<aidl_hal::IPreparedModel> kPreparedModel;
 };
diff --git a/neuralnetworks/aidl/utils/src/Burst.cpp b/neuralnetworks/aidl/utils/src/Burst.cpp
index 0b475bc..b20f6ae 100644
--- a/neuralnetworks/aidl/utils/src/Burst.cpp
+++ b/neuralnetworks/aidl/utils/src/Burst.cpp
@@ -148,8 +148,10 @@
 
     // 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 aidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
     const auto aidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
@@ -174,6 +176,10 @@
     }
     CHECK_EQ(request.pools.size(), memoryIdentifierTokens.size());
 
+    if (relocation.input) {
+        relocation.input->flush();
+    }
+
     ExecutionResult executionResult;
     const auto ret =
             kBurst->executeSynchronously(aidlRequest, memoryIdentifierTokens, aidlMeasure,
@@ -188,9 +194,9 @@
     auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
             convertExecutionResults(executionResult.outputShapes, executionResult.timing)));
 
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return std::make_pair(std::move(outputShapes), timing);
 }
 
diff --git a/neuralnetworks/aidl/utils/src/Execution.cpp b/neuralnetworks/aidl/utils/src/Execution.cpp
new file mode 100644
index 0000000..2aee8a6
--- /dev/null
+++ b/neuralnetworks/aidl/utils/src/Execution.cpp
@@ -0,0 +1,79 @@
+/*
+ * 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 "Conversions.h"
+#include "PreparedModel.h"
+#include "Utils.h"
+
+#include <aidl/android/hardware/neuralnetworks/Request.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.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 aidl::android::hardware::neuralnetworks::utils {
+
+nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create(
+        std::shared_ptr<const PreparedModel> preparedModel, Request request,
+        hal::utils::RequestRelocation relocation, bool measure, int64_t loopTimeoutDuration) {
+    if (preparedModel == nullptr) {
+        return NN_ERROR() << "aidl::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,
+                                             loopTimeoutDuration);
+}
+
+Execution::Execution(PrivateConstructorTag /*tag*/,
+                     std::shared_ptr<const PreparedModel> preparedModel, Request request,
+                     hal::utils::RequestRelocation relocation, bool measure,
+                     int64_t loopTimeoutDuration)
+    : kPreparedModel(std::move(preparedModel)),
+      kRequest(std::move(request)),
+      kRelocation(std::move(relocation)),
+      kMeasure(measure),
+      kLoopTimeoutDuration(loopTimeoutDuration) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
+        const nn::OptionalTimePoint& deadline) const {
+    const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+    return kPreparedModel->executeInternal(kRequest, kMeasure, aidlDeadline, kLoopTimeoutDuration,
+                                           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 {
+    const auto aidlWaitFor = NN_TRY(convert(waitFor));
+    const auto aidlDeadline = NN_TRY(convert(deadline));
+    const auto aidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
+    return kPreparedModel->executeFencedInternal(kRequest, aidlWaitFor, kMeasure, aidlDeadline,
+                                                 kLoopTimeoutDuration,
+                                                 aidlTimeoutDurationAfterFence, kRelocation);
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/aidl/utils/src/PreparedModel.cpp b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
index 003965b..1915607 100644
--- a/neuralnetworks/aidl/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
@@ -19,8 +19,11 @@
 #include "Burst.h"
 #include "Callbacks.h"
 #include "Conversions.h"
+#include "Execution.h"
+#include "ProtectCallback.h"
 #include "Utils.h"
 
+#include <aidl/android/hardware/neuralnetworks/Request.h>
 #include <android/binder_auto_utils.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
@@ -74,18 +77,31 @@
         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 aidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
     const auto aidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
     const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
     const auto aidlLoopTimeoutDuration =
             NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));
+    return executeInternal(aidlRequest, aidlMeasure, aidlDeadline, aidlLoopTimeoutDuration,
+                           relocation);
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+PreparedModel::executeInternal(const Request& request, bool measure, int64_t deadline,
+                               int64_t loopTimeoutDuration,
+                               const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
 
     ExecutionResult executionResult;
-    const auto ret = kPreparedModel->executeSynchronously(
-            aidlRequest, aidlMeasure, aidlDeadline, aidlLoopTimeoutDuration, &executionResult);
+    const auto ret = kPreparedModel->executeSynchronously(request, measure, deadline,
+                                                          loopTimeoutDuration, &executionResult);
     HANDLE_ASTATUS(ret) << "executeSynchronously failed";
     if (!executionResult.outputSufficientSize) {
         auto canonicalOutputShapes =
@@ -96,9 +112,9 @@
     auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
             convertExecutionResults(executionResult.outputShapes, executionResult.timing)));
 
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return std::make_pair(std::move(outputShapes), timing);
 }
 
@@ -109,8 +125,9 @@
                              const nn::OptionalDuration& timeoutDurationAfterFence) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared =
-            NN_TRY(hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, &maybeRequestInShared, &relocation));
 
     const auto aidlRequest = NN_TRY(convert(requestInShared));
     const auto aidlWaitFor = NN_TRY(convert(waitFor));
@@ -118,11 +135,25 @@
     const auto aidlDeadline = NN_TRY(convert(deadline));
     const auto aidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
     const auto aidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
+    return executeFencedInternal(aidlRequest, aidlWaitFor, aidlMeasure, aidlDeadline,
+                                 aidlLoopTimeoutDuration, aidlTimeoutDurationAfterFence,
+                                 relocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+PreparedModel::executeFencedInternal(const Request& request,
+                                     const std::vector<ndk::ScopedFileDescriptor>& waitFor,
+                                     bool measure, int64_t deadline, int64_t loopTimeoutDuration,
+                                     int64_t timeoutDurationAfterFence,
+                                     const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
 
     FencedExecutionResult result;
-    const auto ret = kPreparedModel->executeFenced(aidlRequest, aidlWaitFor, aidlMeasure,
-                                                   aidlDeadline, aidlLoopTimeoutDuration,
-                                                   aidlTimeoutDurationAfterFence, &result);
+    const auto ret =
+            kPreparedModel->executeFenced(request, waitFor, measure, deadline, loopTimeoutDuration,
+                                          timeoutDurationAfterFence, &result);
     HANDLE_ASTATUS(ret) << "executeFenced failed";
 
     auto resultSyncFence = nn::SyncFence::createAsSignaled();
@@ -137,12 +168,12 @@
 
     // If executeFenced required the request memory to be moved into shared memory, block here until
     // the fenced execution has completed and flush the memory back.
-    if (maybeRequestInShared.has_value()) {
+    if (relocation.output) {
         const auto state = resultSyncFence.syncWait({});
         if (state != nn::SyncFence::FenceState::SIGNALED) {
             return NN_ERROR() << "syncWait failed with " << state;
         }
-        NN_TRY(hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared));
+        relocation.output->flush();
     }
 
     // Create callback which can be used to retrieve the execution error status and timings.
@@ -159,6 +190,22 @@
     return std::make_pair(std::move(resultSyncFence), std::move(resultCallback));
 }
 
+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 aidlRequest = NN_TRY(convert(requestInShared));
+    auto aidlMeasure = NN_TRY(convert(measure));
+    auto aidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
+    return Execution::create(shared_from_this(), std::move(aidlRequest), std::move(relocation),
+                             aidlMeasure, aidlLoopTimeoutDuration);
+}
+
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
     std::shared_ptr<IBurst> burst;
     const auto ret = kPreparedModel->configureExecutionBurst(&burst);
diff --git a/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp b/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
index ff98a7d..8bb5c90 100644
--- a/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
@@ -21,6 +21,7 @@
 #include <aidl/android/hardware/neuralnetworks/IFencedExecutionCallback.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>
@@ -253,6 +254,225 @@
     EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
 }
 
+TEST(PreparedModelTest, reusableExecuteSync) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    const auto mockExecutionResult = ExecutionResult{
+            .outputSufficientSize = true,
+            .outputShapes = {},
+            .timing = kNoTiming,
+    };
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(
+                    DoAll(SetArgPointee<4>(mockExecutionResult), InvokeWithoutArgs(makeStatusOk)));
+
+    // 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 = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeGeneralFailure));
+
+    // 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 = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).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 = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).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, reusableExecuteFenced) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    const auto mockCallback = MockFencedExecutionCallback::create();
+    EXPECT_CALL(*mockCallback, getExecutionInfo(_, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(DoAll(SetArgPointee<0>(kNoTiming), SetArgPointee<1>(kNoTiming),
+                                  SetArgPointee<2>(ErrorStatus::NONE), Invoke(makeStatusOk)));
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(Invoke(makeFencedExecutionResult(mockCallback)));
+
+    // 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()->computeFenced({}, {}, {});
+        ASSERT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+        const auto& [syncFence, callback] = computeResult.value();
+        EXPECT_EQ(syncFence.syncWait({}), nn::SyncFence::FenceState::SIGNALED);
+        ASSERT_NE(callback, nullptr);
+
+        // get results from callback
+        const auto callbackResult = callback();
+        ASSERT_TRUE(callbackResult.has_value()) << "Failed with " << callbackResult.error().code
+                                                << ": " << callbackResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedCallbackError) {
+    // setup call
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    const auto mockCallback = MockFencedExecutionCallback::create();
+    EXPECT_CALL(*mockCallback, getExecutionInfo(_, _, _))
+            .Times(1)
+            .WillOnce(Invoke(DoAll(SetArgPointee<0>(kNoTiming), SetArgPointee<1>(kNoTiming),
+                                   SetArgPointee<2>(ErrorStatus::GENERAL_FAILURE),
+                                   Invoke(makeStatusOk))));
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeFencedExecutionResult(mockCallback)));
+
+    // 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_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code << ": "
+                                           << computeResult.error().message;
+    const auto& [syncFence, callback] = computeResult.value();
+    EXPECT_NE(syncFence.syncWait({}), nn::SyncFence::FenceState::ACTIVE);
+    ASSERT_NE(callback, nullptr);
+
+    // verify callback failure
+    const auto callbackResult = callback();
+    ASSERT_FALSE(callbackResult.has_value());
+    EXPECT_EQ(callbackResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedError) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralFailure));
+
+    // 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, reusableExecuteFencedTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .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()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedDeadObject) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .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()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
 TEST(PreparedModelTest, configureExecutionBurst) {
     // setup test
     const auto mockPreparedModel = MockPreparedModel::create();