diff --git a/src/core/src/runtime/itensor.cpp b/src/core/src/runtime/itensor.cpp
index 2b3a6d49b84947..59d6d283ac3526 100644
--- a/src/core/src/runtime/itensor.cpp
+++ b/src/core/src/runtime/itensor.cpp
@@ -25,10 +25,10 @@ size_t ITensor::get_byte_size() const {
 }
 
 bool ITensor::is_continuous() const {
-    if ((get_element_type().bitwidth() < 8) || get_size() == 0) {
+    if (get_element_type().bitwidth() < 8)
         // OpenVINO doesn't support strides for lp types
         return true;
-    }
+
     const auto& shape = get_shape();
     const auto& type = get_element_type();
     std::vector<size_t> strides(shape.size());
diff --git a/src/inference/src/dev/make_tensor.cpp b/src/inference/src/dev/make_tensor.cpp
index 2c0f33b352bcf6..1d23c62f86d957 100644
--- a/src/inference/src/dev/make_tensor.cpp
+++ b/src/inference/src/dev/make_tensor.cpp
@@ -77,7 +77,7 @@ class ViewTensor : public ITensor {
         auto& shape = get_shape();
         if (m_strides.empty() && !shape.empty()) {
             m_strides.resize(shape.size());
-            m_strides.back() = shape.back() == 0 ? 0 : m_element_type.size();
+            m_strides.back() = m_element_type.size();
             std::transform(shape.crbegin(),
                            shape.crend() - 1,
                            m_strides.rbegin(),
diff --git a/src/plugins/intel_cpu/src/memory_desc/cpu_memory_desc_utils.cpp b/src/plugins/intel_cpu/src/memory_desc/cpu_memory_desc_utils.cpp
index 8c0dd61e2c309a..fda668156f43a1 100644
--- a/src/plugins/intel_cpu/src/memory_desc/cpu_memory_desc_utils.cpp
+++ b/src/plugins/intel_cpu/src/memory_desc/cpu_memory_desc_utils.cpp
@@ -58,8 +58,6 @@ DnnlBlockedMemoryDesc MemoryDescUtils::createDnnlBlockedMemoryDesc(InferenceEngi
 CpuBlockedMemoryDesc MemoryDescUtils::createCpuBlockedMemoryDesc(const ov::SoPtr<ITensor>& tensor) {
     auto element_type = tensor->get_element_type();
     auto shape = tensor->get_shape();
-    if (shape.empty())
-        shape = {tensor->get_size()};
     std::vector<size_t> blk_order(shape.size());
     std::iota(blk_order.begin(), blk_order.end(), 0);
     std::vector<size_t> dim_offset(shape.size(), 0);