diff --git a/inference-engine/src/plugin_api/cpp_interfaces/impl/ie_infer_request_internal.hpp b/inference-engine/src/plugin_api/cpp_interfaces/impl/ie_infer_request_internal.hpp
index d15345a02d7dd9..9bb32e22b30f87 100644
--- a/inference-engine/src/plugin_api/cpp_interfaces/impl/ie_infer_request_internal.hpp
+++ b/inference-engine/src/plugin_api/cpp_interfaces/impl/ie_infer_request_internal.hpp
@@ -110,8 +110,8 @@ class InferRequestInternal : virtual public IInferRequestInternal {
                 addInputPreProcessingFor(name, userBlob, devBlob ? devBlob : _inputs[name]);
             } else {
                 size_t inputSize = foundInput->getTensorDesc().getLayout() != InferenceEngine::Layout::SCALAR
-                ? InferenceEngine::details::product(foundInput->getTensorDesc().getDims())
-                : 1;
+                    ? InferenceEngine::details::product(foundInput->getTensorDesc().getDims())
+                    : 1;
                 if (dataSize != inputSize) {
                     THROW_IE_EXCEPTION << "Input blob size is not equal network input size (" << dataSize
                                        << "!=" << inputSize << ").";
@@ -124,7 +124,9 @@ class InferRequestInternal : virtual public IInferRequestInternal {
                 THROW_IE_EXCEPTION << NOT_IMPLEMENTED_str
                                    << "cannot set compound blob: supported only for input pre-processing";
             }
-            size_t outputSize = details::product(foundOutput->getDims());
+            size_t outputSize = foundOutput->getTensorDesc().getLayout() != InferenceEngine::Layout::SCALAR
+                ? details::product(foundOutput->getTensorDesc().getDims()) :
+                1;
             if (dataSize != outputSize) {
                 THROW_IE_EXCEPTION << "Output blob size is not equal network output size (" << dataSize
                                    << "!=" << outputSize << ").";