diff --git a/common/operations/Reduce.cpp b/common/operations/Reduce.cpp
index b3327c9..8b21552 100644
--- a/common/operations/Reduce.cpp
+++ b/common/operations/Reduce.cpp
@@ -79,6 +79,10 @@
     NN_RET_CHECK(
             validateInputTypes(context, {inputType, OperandType::TENSOR_INT32, OperandType::BOOL}));
     NN_RET_CHECK(validateOutputTypes(context, {inputType}));
+    const Shape& input = context->getInputShape(kInputTensor);
+    if (hasKnownRank(input)) {
+        NN_RET_CHECK_LE(getNumberOfDimensions(input), 4);
+    }
     return validateHalVersion(context, HalVersion::V1_2);
 }
 
@@ -98,6 +102,10 @@
     if (inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED) {
         minHalVersion = HalVersion::V1_3;
     }
+    const Shape& input = context->getInputShape(kInputTensor);
+    if (hasKnownRank(input)) {
+        NN_RET_CHECK_LE(getNumberOfDimensions(input), 4);
+    }
     return validateHalVersion(context, minHalVersion);
 }
 
@@ -110,12 +118,17 @@
     NN_RET_CHECK(
             validateInputTypes(context, {inputType, OperandType::TENSOR_INT32, OperandType::BOOL}));
     NN_RET_CHECK(validateOutputTypes(context, {inputType}));
+    const Shape& input = context->getInputShape(kInputTensor);
+    if (hasKnownRank(input)) {
+        NN_RET_CHECK_LE(getNumberOfDimensions(input), 4);
+    }
     return validateHalVersion(context, HalVersion::V1_2);
 }
 
 bool prepare(IOperationExecutionContext* context) {
     Shape inputShape = context->getInputShape(kInputTensor);
     const uint32_t inputRank = getNumberOfDimensions(inputShape);
+    NN_RET_CHECK_LE(inputRank, 4);
 
     std::vector<bool> shouldReduce(inputRank);
     const int32_t* axes = context->getInputBuffer<int32_t>(kInputAxes);