diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index 95e97c4..0aa7cc2 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -30,6 +30,18 @@
      * represents false; any other value represents true.
      */
     BOOL = 6,
+    /**
+     * A tensor of 16 bit signed integers that represent real numbers.
+     *
+     * Attached to this tensor are two numbers that are used to convert the 16
+     * bit integer to the real value and vice versa. These two numbers are:
+     * - scale: a 32 bit floating point value greater than zero.
+     * - zeroPoint: a 32 bit integer, in range [-32768, 32767].
+     *
+     * The formula is:
+     * realValue = (integerValue - zeroPoint) * scale.
+     */
+    TENSOR_QUANT16_ASYMM = 7,
 };
 
 /**
diff --git a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
index 5a8b8c5..9af6258 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
@@ -129,10 +129,10 @@
 ///////////////////////// VALIDATE MODEL OPERAND TYPE /////////////////////////
 
 static const int32_t invalidOperandTypes[] = {
-    static_cast<int32_t>(OperandType::FLOAT32) - 1,          // lower bound fundamental
-    static_cast<int32_t>(OperandType::BOOL) + 1,             // upper bound fundamental
-    static_cast<int32_t>(OperandType::OEM) - 1,              // lower bound OEM
-    static_cast<int32_t>(OperandType::TENSOR_OEM_BYTE) + 1,  // upper bound OEM
+    static_cast<int32_t>(OperandType::FLOAT32) - 1,               // lower bound fundamental
+    static_cast<int32_t>(OperandType::TENSOR_QUANT16_ASYMM) + 1,  // upper bound fundamental
+    static_cast<int32_t>(OperandType::OEM) - 1,                   // lower bound OEM
+    static_cast<int32_t>(OperandType::TENSOR_OEM_BYTE) + 1,       // upper bound OEM
 };
 
 static void mutateOperandTypeTest(const sp<IDevice>& device, const Model& model) {
@@ -160,6 +160,7 @@
         case OperandType::TENSOR_FLOAT32:
         case OperandType::TENSOR_INT32:
         case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::TENSOR_QUANT16_ASYMM:
             return 0;
         default:
             return 0;
@@ -190,6 +191,7 @@
         case OperandType::TENSOR_INT32:
             return -1.0f;
         case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::TENSOR_QUANT16_ASYMM:
             return 0.0f;
         default:
             return 0.0f;
@@ -219,6 +221,7 @@
         case OperandType::TENSOR_INT32:
             return {1};
         case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::TENSOR_QUANT16_ASYMM:
             return {-1, 256};
         default:
             return {};
@@ -271,6 +274,7 @@
             newOperand.zeroPoint = 0;
             break;
         case OperandType::TENSOR_QUANT8_ASYMM:
+        case OperandType::TENSOR_QUANT16_ASYMM:
             newOperand.dimensions =
                 operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});
             newOperand.scale = operand->scale != 0.0f ? operand->scale : 1.0f;