diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 9788fe1b9d..8b45f715ab 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -244,7 +244,7 @@ GeneralResult<BufferRole> unvalidatedConvert(const hal::V1_3::BufferRole& buffer
     return BufferRole{
             .modelIndex = bufferRole.modelIndex,
             .ioIndex = bufferRole.ioIndex,
-            .frequency = bufferRole.frequency,
+            .probability = bufferRole.frequency,
     };
 }
 
@@ -577,7 +577,7 @@ nn::GeneralResult<BufferRole> unvalidatedConvert(const nn::BufferRole& bufferRol
     return BufferRole{
             .modelIndex = bufferRole.modelIndex,
             .ioIndex = bufferRole.ioIndex,
-            .frequency = bufferRole.frequency,
+            .frequency = bufferRole.probability,
     };
 }
 
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
index c2d636c53d..907fa0bb15 100644
--- a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
@@ -35,5 +35,5 @@ package android.hardware.neuralnetworks;
 parcelable BufferRole {
   int modelIndex;
   int ioIndex;
-  float frequency;
+  float probability;
 }
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
index 0d7f678006..c444851b1e 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
@@ -35,5 +35,5 @@ parcelable BufferRole {
      * used in the specified role. This is provided as a hint to optimize the case when multiple
      * roles prefer different buffer locations or data layouts.
      */
-    float frequency;
+    float probability;
 }
diff --git a/neuralnetworks/aidl/utils/src/Conversions.cpp b/neuralnetworks/aidl/utils/src/Conversions.cpp
index c47ba0ec1c..45bc005e9f 100644
--- a/neuralnetworks/aidl/utils/src/Conversions.cpp
+++ b/neuralnetworks/aidl/utils/src/Conversions.cpp
@@ -472,7 +472,7 @@ GeneralResult<BufferRole> unvalidatedConvert(const aidl_hal::BufferRole& bufferR
     return BufferRole{
             .modelIndex = static_cast<uint32_t>(bufferRole.modelIndex),
             .ioIndex = static_cast<uint32_t>(bufferRole.ioIndex),
-            .frequency = bufferRole.frequency,
+            .probability = bufferRole.probability,
     };
 }
 
@@ -718,7 +718,7 @@ nn::GeneralResult<BufferRole> unvalidatedConvert(const nn::BufferRole& bufferRol
     return BufferRole{
             .modelIndex = static_cast<int32_t>(bufferRole.modelIndex),
             .ioIndex = static_cast<int32_t>(bufferRole.ioIndex),
-            .frequency = bufferRole.frequency,
+            .probability = bufferRole.probability,
     };
 }
 
diff --git a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
index 7a042ed37e..098ed94791 100644
--- a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
@@ -101,7 +101,7 @@ class DeviceMemoryAllocator {
         ASSERT_NE(result, nullptr);
 
         // Prepare arguments.
-        BufferRole role = {.modelIndex = 0, .ioIndex = index, .frequency = 1.0f};
+        BufferRole role = {.modelIndex = 0, .ioIndex = index, .probability = 1.0f};
         std::vector<BufferRole> inputRoles, outputRoles;
         if constexpr (ioType == IOType::INPUT) {
             inputRoles = {role};
diff --git a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
index 57bc1aed54..9c6d385496 100644
--- a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
+++ b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
@@ -333,18 +333,18 @@ class MemoryDomainAllocateTest : public MemoryDomainTestBase,
                               const std::shared_ptr<IPreparedModel>& model2) {
         validateAllocate({
                 .preparedModels = {model1, model2},
-                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
-                               {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+                               {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
         });
         validateAllocate({
                 .preparedModels = {model1, model2},
-                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
-                .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
+                .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
         });
         validateAllocate({
                 .preparedModels = {model1, model2},
-                .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
-                                {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+                .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+                                {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
         });
     }
 };
@@ -366,13 +366,13 @@ TEST_P(MemoryDomainAllocateTest, NullptrPreparedModel) {
     // Test with nullptr prepared model as input role.
     validateAllocate({
             .preparedModels = {nullptr},
-            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
 
     // Test with nullptr prepared model as output role.
     validateAllocate({
             .preparedModels = {nullptr},
-            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
 }
 
@@ -383,13 +383,13 @@ TEST_P(MemoryDomainAllocateTest, InvalidPreparedModel) {
     // Test with invalid prepared model as input role.
     validateAllocate({
             .preparedModels = {invalidPreparedModel},
-            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
 
     // Test with invalid prepared model as output role.
     validateAllocate({
             .preparedModels = {invalidPreparedModel},
-            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
 }
 
@@ -400,13 +400,13 @@ TEST_P(MemoryDomainAllocateTest, InvalidModelIndex) {
     // This should fail, because the model index is out of bound.
     validateAllocate({
             .preparedModels = {preparedModel},
-            .inputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
     });
 
     // This should fail, because the model index is out of bound.
     validateAllocate({
             .preparedModels = {preparedModel},
-            .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+            .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
     });
 }
 
@@ -417,30 +417,30 @@ TEST_P(MemoryDomainAllocateTest, InvalidIOIndex) {
     // This should fail, because the model only has one input.
     validateAllocate({
             .preparedModels = {preparedModel},
-            .inputRoles = {{.modelIndex = 0, .ioIndex = 1, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 1, .probability = 1.0f}},
     });
 
     // This should fail, because the model only has one output.
     validateAllocate({
             .preparedModels = {preparedModel},
-            .outputRoles = {{.modelIndex = 0, .ioIndex = 1, .frequency = 1.0f}},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 1, .probability = 1.0f}},
     });
 }
 
-TEST_P(MemoryDomainAllocateTest, InvalidFrequency) {
+TEST_P(MemoryDomainAllocateTest, InvalidProbability) {
     auto preparedModel = createConvPreparedModel(kTestOperand);
     if (preparedModel == nullptr) return;
 
     for (float invalidFreq : {10.0f, 0.0f, -0.5f}) {
-        // Test with invalid frequency for input roles.
+        // Test with invalid probability for input roles.
         validateAllocate({
                 .preparedModels = {preparedModel},
-                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = invalidFreq}},
+                .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = invalidFreq}},
         });
-        // Test with invalid frequency for output roles.
+        // Test with invalid probability for output roles.
         validateAllocate({
                 .preparedModels = {preparedModel},
-                .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = invalidFreq}},
+                .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = invalidFreq}},
         });
     }
 }
@@ -452,25 +452,25 @@ TEST_P(MemoryDomainAllocateTest, SameRoleSpecifiedTwice) {
     // Same role with same model index.
     validateAllocate({
             .preparedModels = {preparedModel},
-            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
-                           {.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+                           {.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
     validateAllocate({
             .preparedModels = {preparedModel},
-            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
-                            {.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+                            {.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
 
     // Different model indexes, but logically referring to the same role.
     validateAllocate({
             .preparedModels = {preparedModel, preparedModel},
-            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
-                           {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+                           {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
     });
     validateAllocate({
             .preparedModels = {preparedModel, preparedModel},
-            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
-                            {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+                            {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
     });
 }
 
@@ -549,12 +549,12 @@ TEST_P(MemoryDomainAllocateTest, ConflictRankBetweenRoleAndDesc) {
     validateAllocate({
             .dimensions = badDimensions,
             .preparedModels = {preparedModel},
-            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
     validateAllocate({
             .dimensions = badDimensions,
             .preparedModels = {preparedModel},
-            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
 }
 
@@ -568,12 +568,12 @@ TEST_P(MemoryDomainAllocateTest, ConflictDimensionsBetweenRoleAndDesc) {
     validateAllocate({
             .dimensions = badDimensions,
             .preparedModels = {preparedModel},
-            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
     validateAllocate({
             .dimensions = badDimensions,
             .preparedModels = {preparedModel},
-            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+            .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
     });
 }
 
@@ -586,7 +586,7 @@ TEST_P(MemoryDomainAllocateTest, ConflictRankWithScalarRole) {
     validateAllocate({
             .dimensions = {1},
             .preparedModels = {preparedModel},
-            .inputRoles = {{.modelIndex = 0, .ioIndex = 2, .frequency = 1.0f}},
+            .inputRoles = {{.modelIndex = 0, .ioIndex = 2, .probability = 1.0f}},
     });
 }
 
@@ -620,7 +620,7 @@ class MemoryDomainCopyTestBase : public MemoryDomainTestBase {
 
         std::vector<BufferRole> inputRoles(inputIndexes.size()), outputRoles(outputIndexes.size());
         auto trans = [](int32_t ind) -> BufferRole {
-            return {.modelIndex = 0, .ioIndex = ind, .frequency = 1.0f};
+            return {.modelIndex = 0, .ioIndex = ind, .probability = 1.0f};
         };
         std::transform(inputIndexes.begin(), inputIndexes.end(), inputRoles.begin(), trans);
         std::transform(outputIndexes.begin(), outputIndexes.end(), outputRoles.begin(), trans);