diff --git a/current.txt b/current.txt
index 6c576ca..270880f 100644
--- a/current.txt
+++ b/current.txt
@@ -782,6 +782,8 @@
 f729ee6a5f136b25d79ea6895d24700fce413df555baaecf2c39e4440d15d043 android.hardware.neuralnetworks@1.0::types
 a84f8dac7a9b75de1cc2936a9b429b9b62b32a31ea88ca52c29f98f5ddc0fa95 android.hardware.neuralnetworks@1.2::types
 cd331b92312d16ab89f475c39296abbf539efc4114a8c5c2b136ad99b904ef33 android.hardware.neuralnetworks@1.3::types
+c3fec5bd470984402997f78a74b6511efc4063b270f2bd9ee7b78f48b683a1bb android.hardware.neuralnetworks@1.3::IDevice
+0fdfad62c2ec33b52e6687004e5a1971c02d10b93ee4d26df5ccff7ce032494a android.hardware.neuralnetworks@1.3::IPreparedModel
 e8c86c69c438da8d1549856c1bb3e2d1b8da52722f8235ff49a30f2cce91742c android.hardware.soundtrigger@2.1::ISoundTriggerHwCallback
 b9fbb6e2e061ed0960939d48b785e9700210add1f13ed32ecd688d0f1ca20ef7 android.hardware.renderscript@1.0::types
 0f53d70e1eadf8d987766db4bf6ae2048004682168f4cab118da576787def3fa android.hardware.radio@1.0::types
diff --git a/neuralnetworks/1.3/IDevice.hal b/neuralnetworks/1.3/IDevice.hal
index e0b04a8..de889e4 100644
--- a/neuralnetworks/1.3/IDevice.hal
+++ b/neuralnetworks/1.3/IDevice.hal
@@ -131,6 +131,14 @@
      * ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
      * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due
      * to an abort must be sent the same way as other errors, described above.
+     * The deadline is represented as nanoseconds since the epoch of the steady
+     * clock (as if from std::chrono::steady_clock::time_point), but the service
+     * may convert it to the nanoseconds since boot time (as if from
+     * clock_gettime(CLOCK_BOOTTIME, &ts) or
+     * android::base::boot_clock::time_point) to account for time when the
+     * system is suspended. This conversion can by done by finding the timeout
+     * duration remaining compared to the steady_clock and adding it to the
+     * current boot_clock time.
      *
      * Optionally, the driver may save the prepared model to cache during the
      * asynchronous preparation. Any error that occurs when saving to cache must
@@ -249,7 +257,15 @@
      * ErrorStatus::MISSED_DEADLINE_TRANSIENT}
      * or {@link ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The
      * error due to an abort must be sent the same way as other errors,
-     * described above.
+     * described above. The deadline is represented as nanoseconds since the
+     * epoch of the steady clock (as if from
+     * std::chrono::steady_clock::time_point), but the service may convert it to
+     * the nanoseconds since boot time (as if from
+     * clock_gettime(CLOCK_BOOTTIME, &ts) or
+     * android::base::boot_clock::time_point) to account for time when the
+     * system is suspended. This conversion can by done by finding the timeout
+     * duration remaining compared to the steady_clock and adding it to the
+     * current boot_clock time.
      *
      * The only information that may be unknown to the model at this stage is
      * the shape of the tensors, which may only be known at execution time. As
diff --git a/neuralnetworks/1.3/IPreparedModel.hal b/neuralnetworks/1.3/IPreparedModel.hal
index e7d63f4..8b86a1a 100644
--- a/neuralnetworks/1.3/IPreparedModel.hal
+++ b/neuralnetworks/1.3/IPreparedModel.hal
@@ -74,6 +74,14 @@
      * ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
      * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due
      * to an abort must be sent the same way as other errors, described above.
+     * The deadline is represented as nanoseconds since the epoch of the steady
+     * clock (as if from std::chrono::steady_clock::time_point), but the service
+     * may convert it to the nanoseconds since boot time (as if from
+     * clock_gettime(CLOCK_BOOTTIME, &ts) or
+     * android::base::boot_clock::time_point) to account for time when the
+     * system is suspended. This conversion can by done by finding the timeout
+     * duration remaining compared to the steady_clock and adding it to the
+     * current boot_clock time.
      *
      * Any number of calls to the execute* and executeSynchronously* functions,
      * in any combination, may be made concurrently, even on the same
@@ -150,6 +158,14 @@
      * ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
      * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due
      * to an abort must be sent the same way as other errors, described above.
+     * The deadline is represented as nanoseconds since the epoch of the steady
+     * clock (as if from std::chrono::steady_clock::time_point), but the service
+     * may convert it to the nanoseconds since boot time (as if from
+     * clock_gettime(CLOCK_BOOTTIME, &ts) or
+     * android::base::boot_clock::time_point) to account for time when the
+     * system is suspended. This conversion can by done by finding the timeout
+     * duration remaining compared to the steady_clock and adding it to the
+     * current boot_clock time.
      *
      * Any number of calls to the execute* and executeSynchronously* functions,
      * in any combination, may be made concurrently, even on the same
@@ -231,6 +247,14 @@
      * {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
      * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due
      * to an abort must be sent the same way as other errors, described above.
+     * The deadline is represented as nanoseconds since the epoch of the steady
+     * clock (as if from std::chrono::steady_clock::time_point), but the service
+     * may convert it to the nanoseconds since boot time (as if from
+     * clock_gettime(CLOCK_BOOTTIME, &ts) or
+     * android::base::boot_clock::time_point) to account for time when the
+     * system is suspended. This conversion can by done by finding the timeout
+     * duration remaining compared to the steady_clock and adding it to the
+     * current boot_clock time.
      *
      * If any of the sync fences in waitFor changes to error status after the executeFenced
      * call succeeds, or the execution is aborted because it cannot finish before the deadline
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 8083ae4..e8a4f55 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -42,6 +42,23 @@
 
 namespace {
 
+std::chrono::nanoseconds makeNanosFromUint64(uint64_t nanoseconds) {
+    constexpr auto kMaxCount = std::chrono::nanoseconds::max().count();
+    using CommonType = std::common_type_t<std::chrono::nanoseconds::rep, uint64_t>;
+    const auto count = std::min<CommonType>(kMaxCount, nanoseconds);
+    return std::chrono::nanoseconds{static_cast<std::chrono::nanoseconds::rep>(count)};
+}
+
+uint64_t makeUint64FromNanos(std::chrono::nanoseconds nanoseconds) {
+    if (nanoseconds < std::chrono::nanoseconds::zero()) {
+        return 0;
+    }
+    constexpr auto kMaxCount = std::numeric_limits<uint64_t>::max();
+    using CommonType = std::common_type_t<std::chrono::nanoseconds::rep, uint64_t>;
+    const auto count = std::min<CommonType>(kMaxCount, nanoseconds.count());
+    return static_cast<uint64_t>(count);
+}
+
 template <typename Type>
 constexpr std::underlying_type_t<Type> underlyingType(Type value) {
     return static_cast<std::underlying_type_t<Type>>(value);
@@ -237,8 +254,32 @@
     switch (optionalTimePoint.getDiscriminator()) {
         case Discriminator::none:
             return {};
-        case Discriminator::nanosecondsSinceEpoch:
-            return TimePoint{Duration{optionalTimePoint.nanosecondsSinceEpoch()}};
+        case Discriminator::nanosecondsSinceEpoch: {
+            const auto currentSteadyTime = std::chrono::steady_clock::now();
+            const auto currentBootTime = Clock::now();
+
+            const auto timeSinceEpoch =
+                    makeNanosFromUint64(optionalTimePoint.nanosecondsSinceEpoch());
+            const auto steadyTimePoint = std::chrono::steady_clock::time_point{timeSinceEpoch};
+
+            // Both steadyTimePoint and currentSteadyTime are guaranteed to be non-negative, so this
+            // subtraction will never overflow or underflow.
+            const auto timeRemaining = steadyTimePoint - currentSteadyTime;
+
+            // currentBootTime is guaranteed to be non-negative, so this code only protects against
+            // an overflow.
+            nn::TimePoint bootTimePoint;
+            constexpr auto kZeroNano = std::chrono::nanoseconds::zero();
+            constexpr auto kMaxTime = nn::TimePoint::max();
+            if (timeRemaining > kZeroNano && currentBootTime > kMaxTime - timeRemaining) {
+                bootTimePoint = kMaxTime;
+            } else {
+                bootTimePoint = currentBootTime + timeRemaining;
+            }
+
+            constexpr auto kZeroTime = nn::TimePoint{};
+            return std::max(bootTimePoint, kZeroTime);
+        }
     }
     return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
            << "Invalid OptionalTimePoint discriminator "
@@ -549,9 +590,33 @@
 
 nn::GeneralResult<OptionalTimePoint> unvalidatedConvert(
         const nn::OptionalTimePoint& optionalTimePoint) {
+    const auto currentSteadyTime = std::chrono::steady_clock::now();
+    const auto currentBootTime = nn::Clock::now();
+
     OptionalTimePoint ret;
     if (optionalTimePoint.has_value()) {
-        const auto count = optionalTimePoint.value().time_since_epoch().count();
+        const auto bootTimePoint = optionalTimePoint.value();
+
+        if (bootTimePoint < nn::TimePoint{}) {
+            return NN_ERROR() << "Trying to cast invalid time point";
+        }
+
+        // Both bootTimePoint and currentBootTime are guaranteed to be non-negative, so this
+        // subtraction will never overflow or underflow.
+        const auto timeRemaining = bootTimePoint - currentBootTime;
+
+        // currentSteadyTime is guaranteed to be non-negative, so this code only protects against an
+        // overflow.
+        std::chrono::steady_clock::time_point steadyTimePoint;
+        constexpr auto kZeroNano = std::chrono::nanoseconds::zero();
+        constexpr auto kMaxTime = std::chrono::steady_clock::time_point::max();
+        if (timeRemaining > kZeroNano && currentSteadyTime > kMaxTime - timeRemaining) {
+            steadyTimePoint = kMaxTime;
+        } else {
+            steadyTimePoint = currentSteadyTime + timeRemaining;
+        }
+
+        const uint64_t count = makeUint64FromNanos(steadyTimePoint.time_since_epoch());
         ret.nanosecondsSinceEpoch(count);
     }
     return ret;
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl
index e17e0cd..c5b4ab1 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl
@@ -307,10 +307,10 @@
      * @param priority The priority of the prepared model relative to other prepared models owned by
      *                 the client.
      * @param deadline The time by which the model is expected to be prepared. The time is measured
-     *                 in nanoseconds since epoch of the steady clock (as from
-     *                 std::chrono::steady_clock). If the model cannot be prepared by the deadline,
-     *                 the preparation may be aborted. Passing -1 means the deadline is omitted.
-     *                 Other negative values are invalid.
+     *                 in nanoseconds since boot (as from clock_gettime(CLOCK_BOOTTIME, &ts)
+     *                 or ::android::base::boot_clock). If the model cannot be prepared by the
+     *                 deadline, the preparation may be aborted. Passing -1 means the deadline is
+     *                 omitted. Other negative values are invalid.
      * @param modelCache A vector of file descriptors for the security-sensitive cache. The length
      *                   of the vector must either be 0 indicating that caching information is not
      *                   provided, or match the numModelCache returned from
@@ -396,10 +396,10 @@
      * different shapes of inputs on different (possibly concurrent) executions.
      *
      * @param deadline The time by which the model is expected to be prepared. The time is measured
-     *                 in nanoseconds since epoch of the steady clock (as from
-     *                 std::chrono::steady_clock). If the model cannot be prepared by the deadline,
-     *                 the preparation may be aborted. Passing -1 means the deadline is omitted.
-     *                 Other negative values are invalid.
+     *                 in nanoseconds since boot (as from clock_gettime(CLOCK_BOOTTIME, &ts) or
+     *                 ::android::base::boot_clock). If the model cannot be prepared by the
+     *                 deadline, the preparation may be aborted. Passing -1 means the deadline is
+     *                 omitted. Other negative values are invalid.
      * @param modelCache A vector of file descriptors for the security-sensitive cache. The length
      *                   of the vector must match the numModelCache returned from
      *                   getNumberOfCacheFilesNeeded. The cache file descriptors will be provided in
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
index 2a9757b..bfab906 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
@@ -73,8 +73,8 @@
      *                runs from the time the driver sees the call to the executeSynchronously
      *                function to the time the driver returns from the function.
      * @param deadline The time by which the execution is expected to complete. The time is measured
-     *                 in nanoseconds since epoch of the steady clock (as from
-     *                 std::chrono::steady_clock). If the execution cannot be finished by the
+     *                 in nanoseconds since boot (as from clock_gettime(CLOCK_BOOTTIME, &ts) or
+     *                 ::android::base::boot_clock). If the execution cannot be finished by the
      *                 deadline, the execution may be aborted. Passing -1 means the deadline is
      *                 omitted. Other negative values are invalid.
      * @param loopTimeoutDuration The maximum amount of time in nanoseconds that should be spent
@@ -138,8 +138,8 @@
      *                sync fences have been signaled.
      * @param measure Specifies whether or not to measure duration of the execution.
      * @param deadline The time by which the execution is expected to complete. The time is measured
-     *                 in nanoseconds since epoch of the steady clock (as from
-     *                 std::chrono::steady_clock).If the execution cannot be finished by the
+     *                 in nanoseconds since boot (as from clock_gettime(CLOCK_BOOTTIME, &ts) or
+     *                 ::android::base::boot_clock). If the execution cannot be finished by the
      *                 deadline, the execution may be aborted. Passing -1 means the deadline is
      *                 omitted. Other negative values are invalid.
      * @param loopTimeoutDuration The maximum amount of time in nanoseconds that should be spent
diff --git a/neuralnetworks/aidl/utils/src/Conversions.cpp b/neuralnetworks/aidl/utils/src/Conversions.cpp
index c74c509..d5f7f81 100644
--- a/neuralnetworks/aidl/utils/src/Conversions.cpp
+++ b/neuralnetworks/aidl/utils/src/Conversions.cpp
@@ -931,11 +931,12 @@
 }
 
 nn::GeneralResult<int64_t> unvalidatedConvert(const nn::Duration& duration) {
-    const uint64_t nanoseconds = duration.count();
-    if (nanoseconds > std::numeric_limits<int64_t>::max()) {
-        return std::numeric_limits<int64_t>::max();
+    if (duration < nn::Duration::zero()) {
+        return NN_ERROR() << "Unable to convert invalid (negative) duration";
     }
-    return static_cast<int64_t>(nanoseconds);
+    constexpr std::chrono::nanoseconds::rep kIntMax = std::numeric_limits<int64_t>::max();
+    const auto count = duration.count();
+    return static_cast<int64_t>(std::min(count, kIntMax));
 }
 
 nn::GeneralResult<int64_t> unvalidatedConvert(const nn::OptionalDuration& optionalDuration) {
diff --git a/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp b/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp
index 9ace1a9..e803e38 100644
--- a/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp
+++ b/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp
@@ -14,10 +14,10 @@
  * limitations under the License.
  */
 
+#include <android-base/chrono_utils.h>
 #include <android/binder_enums.h>
 #include <android/binder_interface_utils.h>
 #include <android/binder_status.h>
-
 #include <nnapi/hal/aidl/Conversions.h>
 
 #include "Callbacks.h"
@@ -61,16 +61,16 @@
         return std::chrono::duration_cast<std::chrono::nanoseconds>(timeSinceEpoch).count();
     };
 
-    std::chrono::steady_clock::time_point timePoint;
+    ::android::base::boot_clock::time_point timePoint;
     switch (deadlineBoundType) {
         case DeadlineBoundType::NOW:
-            timePoint = std::chrono::steady_clock::now();
+            timePoint = ::android::base::boot_clock::now();
             break;
         case DeadlineBoundType::UNLIMITED:
-            timePoint = std::chrono::steady_clock::time_point::max();
+            timePoint = ::android::base::boot_clock::time_point::max();
             break;
         case DeadlineBoundType::SHORT:
-            timePoint = std::chrono::steady_clock::now() + kShortDuration;
+            timePoint = ::android::base::boot_clock::now() + kShortDuration;
             break;
     }