diff --git a/current.txt b/current.txt
index ba86bb655e..e88af0a1d2 100644
--- a/current.txt
+++ b/current.txt
@@ -676,7 +676,7 @@ a3eddd9bbdc87e8c22764070037dd1154f1cf006e6fba93364c4f85d4c134a19 android.hardwar
 2fa3679ad7c94b5e88724adcd560c561041068a4ca565c63830e68101988746a android.hardware.neuralnetworks@1.3::IFencedExecutionCallback
 237b23b126a66f3432658020fed78cdd06ba6297459436fe6bae0ba753370833 android.hardware.neuralnetworks@1.3::IPreparedModel
 0439a1fbbec7f16e5e4c653d85ac685d51bfafbae15b8f8cca530acdd7d6a8ce android.hardware.neuralnetworks@1.3::IPreparedModelCallback
-2fabd246f985d94a0172dacefb0d6cf19e2aeb2d5f17752653988ef39570a52d android.hardware.neuralnetworks@1.3::types
+5e2a14b40dc11da9d478185838f4401b652739922d14cecea0a0ce4c1359fe21 android.hardware.neuralnetworks@1.3::types
 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
 c67aaf26a7a40d14ea61e70e20afacbd0bb906df1704d585ac8599fbb69dd44b android.hardware.wifi.hostapd@1.2::IHostapd
 2b5a7ea572b736030c64a3b4043af244425477c4672301780fe15aba5ed393d9 android.hardware.wifi.hostapd@1.2::types
diff --git a/neuralnetworks/1.3/types.hal b/neuralnetworks/1.3/types.hal
index 530f9849fa..8ee867c676 100644
--- a/neuralnetworks/1.3/types.hal
+++ b/neuralnetworks/1.3/types.hal
@@ -5176,8 +5176,10 @@ enum Priority : int32_t {
 /**
  * The capabilities of a driver.
  *
- * Performance of an operation comes from the type of its first operand.
- * This represents performance for non extension operand types.
+ * This represents performance of non-extension operations.
+ *
+ * Performance of an operation other than {@link OperationType::IF} and
+ * {@link OperationType::WHILE} comes from the type of its first operand.
  */
 struct Capabilities {
     /**
@@ -5200,11 +5202,32 @@ struct Capabilities {
 
     /**
      * Performance by operand type. Must be sorted by OperandType.
-     * If a particular OperandType is not present in operandPerformance,
+     *
+     * If a particular {@link OperandType} is not present in operandPerformance,
      * its performance is treated as
      * { .execTime = FLT_MAX, .powerUsage = FLT_MAX }.
+     *
+     * Performance does not apply to {@link OperandType::SUBGRAPH}, and a driver
+     * must not report operand performance for {@link OperandType::SUBGRAPH}.
      */
     vec<OperandPerformance> operandPerformance;
+
+    /**
+     * Performance of an {@link OperationType::IF} operation is the sum of
+     * {@link Capabilities::ifPerformance} and the mean of performance for the
+     * two branch subgraphs, where performance for a subgraph is the sum of the
+     * performance of all operations within the subgraph.
+     */
+    PerformanceInfo ifPerformance;
+
+    /**
+     * Performance of a {@link OperationType::WHILE} operation is the sum of
+     * {@link Capabilities::whilePerformance}, performance for the condition
+     * subgraph and performance for the body subgraph, where performance for a
+     * subgraph is the sum of the performance of all operations within the
+     * subgraph.
+     */
+    PerformanceInfo whilePerformance;
 };
 
 /**
diff --git a/neuralnetworks/1.3/types.t b/neuralnetworks/1.3/types.t
index 3d0d02df46..c663a60dee 100644
--- a/neuralnetworks/1.3/types.t
+++ b/neuralnetworks/1.3/types.t
@@ -103,8 +103,10 @@ enum Priority : int32_t {
 /**
  * The capabilities of a driver.
  *
- * Performance of an operation comes from the type of its first operand.
- * This represents performance for non extension operand types.
+ * This represents performance of non-extension operations.
+ *
+ * Performance of an operation other than {@link OperationType::IF} and
+ * {@link OperationType::WHILE} comes from the type of its first operand.
  */
 struct Capabilities {
     /**
@@ -127,11 +129,32 @@ struct Capabilities {
 
     /**
      * Performance by operand type. Must be sorted by OperandType.
-     * If a particular OperandType is not present in operandPerformance,
+     *
+     * If a particular {@link OperandType} is not present in operandPerformance,
      * its performance is treated as
      * { .execTime = FLT_MAX, .powerUsage = FLT_MAX }.
+     *
+     * Performance does not apply to {@link OperandType::SUBGRAPH}, and a driver
+     * must not report operand performance for {@link OperandType::SUBGRAPH}.
      */
     vec<OperandPerformance> operandPerformance;
+
+    /**
+     * Performance of an {@link OperationType::IF} operation is the sum of
+     * {@link Capabilities::ifPerformance} and the mean of performance for the
+     * two branch subgraphs, where performance for a subgraph is the sum of the
+     * performance of all operations within the subgraph.
+     */
+    PerformanceInfo ifPerformance;
+
+    /**
+     * Performance of a {@link OperationType::WHILE} operation is the sum of
+     * {@link Capabilities::whilePerformance}, performance for the condition
+     * subgraph and performance for the body subgraph, where performance for a
+     * subgraph is the sum of the performance of all operations within the
+     * subgraph.
+     */
+    PerformanceInfo whilePerformance;
 };
 
 /**
diff --git a/neuralnetworks/1.3/vts/functional/BasicTests.cpp b/neuralnetworks/1.3/vts/functional/BasicTests.cpp
index 891850cfa4..1c2536983e 100644
--- a/neuralnetworks/1.3/vts/functional/BasicTests.cpp
+++ b/neuralnetworks/1.3/vts/functional/BasicTests.cpp
@@ -57,6 +57,11 @@ TEST_P(NeuralnetworksHidlTest, GetCapabilitiesTest) {
                                    [](const OperandPerformance& a, const OperandPerformance& b) {
                                        return a.type < b.type;
                                    }));
+        EXPECT_TRUE(std::all_of(opPerf.begin(), opPerf.end(), [](const OperandPerformance& a) {
+            return a.type != OperandType::SUBGRAPH;
+        }));
+        EXPECT_TRUE(isPositive(capabilities.ifPerformance));
+        EXPECT_TRUE(isPositive(capabilities.whilePerformance));
     });
     EXPECT_TRUE(ret.isOk());
 }