diff --git a/inference-engine/src/cldnn_engine/cldnn_infer_request.cpp b/inference-engine/src/cldnn_engine/cldnn_infer_request.cpp
index 1510562a384..c71acf4e6d9 100644
--- a/inference-engine/src/cldnn_engine/cldnn_infer_request.cpp
+++ b/inference-engine/src/cldnn_engine/cldnn_infer_request.cpp
@@ -285,7 +285,7 @@ void CLDNNInferRequest::SetBlob(const std::string& name, const Blob::Ptr& data)
                 // Stores the given blob as ROI blob. It will be used to fill in network input
                 // during pre-processing
                 if (_inputs[name]->is<gpu::ClBlob>()) {
-                    Blob::Ptr inputHostBlob = create_input_host_blob(desc);
+                    Blob::Ptr inputHostBlob = create_host_blob(desc);
                     inputHostBlob->allocate();
                     _inputs[name] = inputHostBlob;
                 }
@@ -626,8 +626,8 @@ void CLDNNInferRequest::wait_dynamic() {
 // ---------------------------- internal utils --------- ----------------------------------- //
 // ----------------------------------------------------------------------------------------- //
 
-Blob::Ptr CLDNNInferRequest::create_input_host_blob(const TensorDesc& desc, uint8_t* mem_ptr) {
-    OV_ITT_SCOPED_TASK(itt::domains::CLDNNPlugin, "CLDNNInferRequest::create_input_host_blob");
+Blob::Ptr CLDNNInferRequest::create_host_blob(const TensorDesc& desc, uint8_t* mem_ptr) {
+    OV_ITT_SCOPED_TASK(itt::domains::CLDNNPlugin, "CLDNNInferRequest::create_host_blob");
     const Precision& p = desc.getPrecision();
 
     switch (p) {
@@ -677,37 +677,7 @@ Blob::Ptr CLDNNInferRequest::create_input_host_blob(const TensorDesc& desc, uint
         else
             return make_shared_blob<uint8_t>(desc);
     default:
-        IE_THROW(NotImplemented) << "The plugin does not support input " << p.name() << " precision";
-    }
-}
-
-Blob::Ptr CLDNNInferRequest::create_output_host_blob(const TensorDesc& desc, uint8_t* mem_ptr) {
-    OV_ITT_SCOPED_TASK(itt::domains::CLDNNPlugin, "CLDNNInferRequest::create_output_host_blob");
-    const Precision& p = desc.getPrecision();
-
-    switch (p) {
-    case Precision::FP32:
-        if (mem_ptr != nullptr)
-            return make_shared_blob<float>(desc, reinterpret_cast<float*>(mem_ptr));
-        else
-            return make_shared_blob<float>(desc);
-    case Precision::FP16:
-        if (mem_ptr != nullptr)
-            return make_shared_blob<uint16_t>(desc, reinterpret_cast<uint16_t*>(mem_ptr));
-        else
-            return make_shared_blob<uint16_t>(desc);
-    case Precision::I32:
-        if (mem_ptr != nullptr)
-            return make_shared_blob<int32_t>(desc, reinterpret_cast<int32_t*>(mem_ptr));
-        else
-            return make_shared_blob<int32_t>(desc);
-     case Precision::I64:
-        if (mem_ptr != nullptr)
-            return make_shared_blob<int64_t>(desc, reinterpret_cast<int64_t*>(mem_ptr));
-        else
-            return make_shared_blob<int64_t>(desc);
-    default:
-        IE_THROW() << "The plugin does not support output " << p.name() << " precision";
+        IE_THROW(NotImplemented) << "The plugin does not support " << p.name() << " blob precision";
     }
 }
 
@@ -719,6 +689,8 @@ void CLDNNInferRequest::copy_output_data(cldnn::memory::ptr src, Blob::Ptr dst,
     case Precision::FP16: copyResultToOutputBlob<uint16_t>(src, dst, bi, stream); break;
     case Precision::I32:  copyResultToOutputBlob<int32_t>(src, dst, bi, stream);  break;
     case Precision::I64:  copyResultToOutputBlob<int64_t>(src, dst, bi, stream);  break;
+    case Precision::U8:  copyResultToOutputBlob<uint8_t>(src, dst, bi, stream);  break;
+    case Precision::I8:  copyResultToOutputBlob<int8_t>(src, dst, bi, stream);  break;
     default: IE_THROW(NotImplemented) << "The plugin does not support output " << dst->getTensorDesc().getPrecision() << " precision";
     }
 }
@@ -799,7 +771,7 @@ void CLDNNInferRequest::allocate_inputs() {
                 desc_fp32.setPrecision(Precision::FP32);
                 auto blobPtr = create_device_blob(desc_fp32, litr->second);
                 _deviceInputs[name] = blobPtr;
-                Blob::Ptr inputBlob = create_input_host_blob(desc);
+                Blob::Ptr inputBlob = create_host_blob(desc);
                 inputBlob->allocate();
                 _inputs[name] = inputBlob;
             } else {
@@ -825,7 +797,7 @@ void CLDNNInferRequest::allocate_inputs_dynamic() {
             IE_THROW() << "Empty dimensions for input blob " << input.first;
         }
 
-        Blob::Ptr inputBlob = create_input_host_blob(desc);
+        Blob::Ptr inputBlob = create_host_blob(desc);
         if (desc.getPrecision() == Precision::I16 || desc.getPrecision() == Precision::U16) {
             desc.setPrecision(Precision::FP32);
             auto fp32inputBlob = InferenceEngine::make_shared_blob<float>(desc);
@@ -871,7 +843,7 @@ void CLDNNInferRequest::allocate_outputs_dynamic() {
             IE_THROW() << "Empty dimensions for output blob " << no.first;
         }
 
-        Blob::Ptr outputBlob = create_output_host_blob(desc);
+        Blob::Ptr outputBlob = create_host_blob(desc);
         outputBlob->allocate();
         _outputs[no.first] = outputBlob;
         outputsMap[no.first] = outputID;
diff --git a/inference-engine/src/cldnn_engine/cldnn_infer_request.h b/inference-engine/src/cldnn_engine/cldnn_infer_request.h
index 210adc46be8..72c924b015e 100644
--- a/inference-engine/src/cldnn_engine/cldnn_infer_request.h
+++ b/inference-engine/src/cldnn_engine/cldnn_infer_request.h
@@ -79,8 +79,7 @@ private:
                        std::vector<cldnn::event::ptr>& dependencies);
     void prepare_output(const cldnn::primitive_id& outputName, InferenceEngine::Blob::Ptr& outputBlob);
 
-    InferenceEngine::Blob::Ptr create_input_host_blob(const InferenceEngine::TensorDesc& desc, uint8_t* mem_ptr = nullptr);
-    InferenceEngine::Blob::Ptr create_output_host_blob(const InferenceEngine::TensorDesc& desc, uint8_t* mem_ptr = nullptr);
+    InferenceEngine::Blob::Ptr create_host_blob(const InferenceEngine::TensorDesc& desc, uint8_t* mem_ptr = nullptr);
     InferenceEngine::Blob::Ptr create_device_blob(const InferenceEngine::TensorDesc& desc, const cldnn::layout& layout);
 
     void copy_output_data(cldnn::memory::ptr outputMemory, InferenceEngine::Blob::Ptr bptr, buf_info* bi = nullptr);
diff --git a/inference-engine/tests/functional/plugin/gpu/shared_tests_instances/skip_tests_config.cpp b/inference-engine/tests/functional/plugin/gpu/shared_tests_instances/skip_tests_config.cpp
index b4cc9d7bfc4..7378a3f0e73 100644
--- a/inference-engine/tests/functional/plugin/gpu/shared_tests_instances/skip_tests_config.cpp
+++ b/inference-engine/tests/functional/plugin/gpu/shared_tests_instances/skip_tests_config.cpp
@@ -23,8 +23,6 @@ std::vector<std::string> disabledTestPatterns() {
             R"(.*(PreprocessTest).*(SetMeanImagePreProcessSetBlob).*)",
             R"(.*(PreprocessTest).*(ReverseInputChannelsPreProcessGetBlob).*)",
             R"(.*(InferRequestPreprocessDynamicallyInSetBlobTest).*)",
-            // TODO: Issue: 51764
-            ".*InferRequestPreprocessConversionTest.*",
             // TODO: Issue: 41462
             R"(.*(SoftMaxLayerTest).*axis=0.*)",
             // TODO: Issue: 43511