diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index 0aa7cc2..4a1e7a8 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -42,6 +42,8 @@
      * realValue = (integerValue - zeroPoint) * scale.
      */
     TENSOR_QUANT16_ASYMM = 7,
+    /** A tensor of 16 bit floating point values. */
+    TENSOR_FLOAT16 = 8,
 };
 
 /**
diff --git a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
index 9af6258..b840199 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
@@ -157,6 +157,7 @@
         case OperandType::UINT32:
         case OperandType::BOOL:
             return 1;
+        case OperandType::TENSOR_FLOAT16:
         case OperandType::TENSOR_FLOAT32:
         case OperandType::TENSOR_INT32:
         case OperandType::TENSOR_QUANT8_ASYMM:
@@ -186,6 +187,7 @@
         case OperandType::INT32:
         case OperandType::UINT32:
         case OperandType::BOOL:
+        case OperandType::TENSOR_FLOAT16:
         case OperandType::TENSOR_FLOAT32:
             return 1.0f;
         case OperandType::TENSOR_INT32:
@@ -217,6 +219,7 @@
         case OperandType::INT32:
         case OperandType::UINT32:
         case OperandType::BOOL:
+        case OperandType::TENSOR_FLOAT16:
         case OperandType::TENSOR_FLOAT32:
         case OperandType::TENSOR_INT32:
             return {1};
@@ -262,6 +265,7 @@
             newOperand.scale = 0.0f;
             newOperand.zeroPoint = 0;
             break;
+        case OperandType::TENSOR_FLOAT16:
         case OperandType::TENSOR_FLOAT32:
             newOperand.dimensions =
                 operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});