diff --git a/inference-engine/thirdparty/clDNN/src/include/to_string_utils.h b/inference-engine/thirdparty/clDNN/src/include/to_string_utils.h
index 801895c275c..8cd459d2eb8 100644
--- a/inference-engine/thirdparty/clDNN/src/include/to_string_utils.h
+++ b/inference-engine/thirdparty/clDNN/src/include/to_string_utils.h
@@ -9,6 +9,10 @@
 #include "intel_gpu/runtime/device.hpp"
 #include "intel_gpu/primitives/primitive.hpp"
 
+#ifdef ENABLE_ONEDNN_FOR_GPU
+#include "program_node.h"
+#endif
+
 
 #include <string>
 #include <sstream>
@@ -270,4 +274,26 @@ inline std::string allocation_type_to_str(allocation_type type) {
     }
 }
 
+#ifdef ENABLE_ONEDNN_FOR_GPU
+inline std::string onednn_post_op_type_to_str(onednn_post_op_type type) {
+    switch (type) {
+    case onednn_post_op_type::eltwise_act: return "eltwise_act";
+    case onednn_post_op_type::eltwise_clip: return "eltwise_clip";
+    case onednn_post_op_type::eltwise_linear: return "eltwise_linear";
+    case onednn_post_op_type::eltwise_round: return "eltwise_round";
+    case onednn_post_op_type::binary_mul: return "binary_mul";
+    case onednn_post_op_type::binary_add: return "binary_add";
+    case onednn_post_op_type::binary_max: return "binary_max";
+    case onednn_post_op_type::binary_min: return "binary_min";
+    case onednn_post_op_type::binary_relu: return "binary_relu";
+    case onednn_post_op_type::scale: return "scale";
+    case onednn_post_op_type::sum: return "sum";
+    case onednn_post_op_type::optimized: return "optimized";
+    case onednn_post_op_type::optimized_eltwise: return "optimized_eltwise";
+    case onednn_post_op_type::optimized_sum: return "optimized_sum";
+    default: return "unknown";
+    }
+}
+#endif
+
 }  // namespace cldnn
diff --git a/inference-engine/thirdparty/clDNN/src/program_node.cpp b/inference-engine/thirdparty/clDNN/src/program_node.cpp
index acc2b143bfd..089f9f2619d 100644
--- a/inference-engine/thirdparty/clDNN/src/program_node.cpp
+++ b/inference-engine/thirdparty/clDNN/src/program_node.cpp
@@ -101,7 +101,6 @@ std::unique_ptr<json_composite> program_node::desc_to_json() const {
     node_info->add("in data flow", bool_to_str(data_flow));
     node_info->add("output", bool_to_str(output));
 
-
     json_composite fused_nodes_info;
     size_t index = 0;
     for (auto& fused_desc : get_fused_primitives()) {
@@ -122,6 +121,22 @@ std::unique_ptr<json_composite> program_node::desc_to_json() const {
     }
     node_info->add("fused primitives", fused_nodes_info);
 
+#ifdef ENABLE_ONEDNN_FOR_GPU
+    auto& onednn_post_ops = get_fused_primitives_onednn();
+    if (onednn_post_ops.size()) {
+        size_t post_op_index = 0;
+        json_composite post_ops_info;
+        for (auto& fused_prim_desc : onednn_post_ops) {
+            json_composite post_op_info;
+            post_op_info.add("post op", onednn_post_op_type_to_str(fused_prim_desc.op_type));
+            post_op_info.add("memory dependency", fused_prim_desc.mem_dep);
+            post_op_info.add("memory offset", fused_prim_desc.mem_offset);
+            post_ops_info.add("post ops idx " + std::to_string(post_op_index++), post_op_info);
+        }
+        node_info->add("onednn post ops", post_ops_info);
+    }
+#endif
+
     std::vector<std::string> deps_ptrs;
     {
         bool empty = true;