diff --git a/ge/single_op/single_op.cc b/ge/single_op/single_op.cc
index 371d7110..8a0b7182 100755
--- a/ge/single_op/single_op.cc
+++ b/ge/single_op/single_op.cc
@@ -17,6 +17,7 @@
 #include "single_op/single_op.h"
 
 #include "common/fmk_types.h"
+#include "common/ge_types.h"
 #include "common/math/math_util.h"
 #include "common/profiling/profiling_manager.h"
 #include "framework/common/debug/ge_log.h"
@@ -164,16 +165,53 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status SingleOp::ExecuteAsync(c
     return ret;
   }
 
+  uint32_t index = 0;
   for (auto &task : tasks_) {
     ret = task->LaunchKernel(stream_);
     if (ret != SUCCESS) {
       return ret;
     }
+    GE_CHK_STATUS_RET_NOLOG(ProfilingTaskInfo(index));
+    index++;
   }
 
   return ret;
 }
 
+Status SingleOp::ProfilingTaskInfo(uint32_t index) {
+  if (!ProfilingManager::Instance().ProfilingModelExecuteOn()) {
+    return SUCCESS;
+  }
+  if (op_name_.size() <= index) {
+    GELOGE(ACL_ERROR_GE_PARAM_INVALID, "index[%d] is out of range of op_name_ size[%d].", index, op_name_.size());
+    return ACL_ERROR_GE_PARAM_INVALID;
+  }
+  GELOGD("ProfilingReport of op[%s] model[%s] start.", op_name_[index].c_str(), model_name_.c_str());
+  std::vector<TaskDescInfo> task_desc_info;
+  uint32_t task_id = 0;
+  uint32_t stream_id = 0;
+  if (rtGetTaskIdAndStreamID(&task_id, &stream_id) != RT_ERROR_NONE) {
+    GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Get task_id and stream_id failed.");
+    return ACL_ERROR_GE_PARAM_INVALID;
+  }
+
+  TaskDescInfo tmp_task_desc_info;
+  tmp_task_desc_info.model_name = model_name_;
+  tmp_task_desc_info.op_name = op_name_[index];
+  tmp_task_desc_info.block_dim = 0;
+  tmp_task_desc_info.task_id = task_id;
+  tmp_task_desc_info.stream_id = stream_id;
+  GELOGD("GetTaskDescInfo of op [%s] end, task_id[%u], stream_id[%u]", op_name_[index].c_str(), task_id, stream_id);
+  task_desc_info.emplace_back(tmp_task_desc_info);
+
+  std::vector<ComputeGraphDescInfo> compute_graph_info;
+
+  auto &profiling_manager = ProfilingManager::Instance();
+  profiling_manager.ReportProfilingData(model_id_, task_desc_info, compute_graph_info,
+                                        !profiling_manager.IsAclApiMode());
+  return SUCCESS;
+}
+
 void SingleOp::SetStream(rtStream_t stream) {
   stream_ = stream;
 }
@@ -263,6 +301,36 @@ Status DynamicSingleOp::ExecuteTbeTask(const vector<GeTensorDesc> &input_desc,
   return op_task_->LaunchKernel(inputs, outputs, workspace_buffers, stream_);
 }
 
+Status DynamicSingleOp::ProfilingTaskInfo() {
+  if (!ProfilingManager::Instance().ProfilingModelExecuteOn()) {
+    return SUCCESS;
+  }
+  GELOGD("ProfilingReport of op[%s] model[%s] start.", op_name_.c_str(), model_name_.c_str());
+  std::vector<TaskDescInfo> task_desc_info;
+  uint32_t task_id = 0;
+  uint32_t stream_id = 0;
+  if (rtGetTaskIdAndStreamID(&task_id, &stream_id) != RT_ERROR_NONE) {
+    GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Get task_id and stream_id failed.");
+    return ACL_ERROR_GE_PARAM_INVALID;
+  }
+
+  TaskDescInfo tmp_task_desc_info;
+  tmp_task_desc_info.model_name = model_name_;
+  tmp_task_desc_info.op_name = op_name_;
+  tmp_task_desc_info.block_dim = 0;
+  tmp_task_desc_info.task_id = task_id;
+  tmp_task_desc_info.stream_id = stream_id;
+  GELOGD("GetTaskDescInfo of op [%s] end, task_id[%u], stream_id[%u]", op_name_.c_str(), task_id, stream_id);
+  task_desc_info.emplace_back(tmp_task_desc_info);
+
+  std::vector<ComputeGraphDescInfo> compute_graph_info;
+
+  auto &profiling_manager = ProfilingManager::Instance();
+  profiling_manager.ReportProfilingData(model_id_, task_desc_info, compute_graph_info,
+                                        !profiling_manager.IsAclApiMode());
+  return SUCCESS;
+}
+
 Status DynamicSingleOp::ExecuteAsync(const vector<GeTensorDesc> &input_desc,
                                      const vector<DataBuffer> &input_buffers,
                                      vector<GeTensorDesc> &output_desc,
@@ -281,9 +349,17 @@ Status DynamicSingleOp::ExecuteAsync(const vector<GeTensorDesc> &input_desc,
   }
 
   if (op_task_->GetOpTaskType() == OP_TASK_TBE) {
-    return ExecuteTbeTask(input_desc, inputs, output_desc, outputs);
+    auto ret = ExecuteTbeTask(input_desc, inputs, output_desc, outputs);
+    if (ret == SUCCESS) {
+      GE_CHK_STATUS_RET_NOLOG(ProfilingTaskInfo());
+    }
+    return ret;
   } else if (op_task_->GetOpTaskType() == OP_TASK_AICPU || op_task_->GetOpTaskType() == OP_TASK_AICPUCC) {
-    return op_task_->LaunchKernel(input_desc, input_buffers, output_desc, output_buffers, stream_);
+    auto aicpu_ret = op_task_->LaunchKernel(input_desc, input_buffers, output_desc, output_buffers, stream_);
+    if (aicpu_ret == SUCCESS) {
+      GE_CHK_STATUS_RET_NOLOG(ProfilingTaskInfo());
+    }
+    return aicpu_ret;
   } else {
     GELOGE(ACL_ERROR_GE_OP_TASK_TYPE_INVALID,
            "Only TBE_Task, AI_CPU_Task and AI_CPUCC_Task are supported, but got %u",
diff --git a/ge/single_op/single_op.h b/ge/single_op/single_op.h
index 14ef8ce1..cc45c5b9 100755
--- a/ge/single_op/single_op.h
+++ b/ge/single_op/single_op.h
@@ -42,6 +42,7 @@ class SingleOp {
   Status ValidateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
   Status UpdateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
   Status GetArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
+  Status ProfilingTaskInfo(uint32_t index);
 
   friend class SingleOpModel;
   std::mutex *stream_mutex_;
@@ -53,7 +54,10 @@ class SingleOp {
   std::vector<uintptr_t> args_;
 
   std::vector<OpTask *> tasks_;
+  std::vector<std::string> op_name_;
   std::vector<std::vector<uintptr_t *>> arg_table_;
+  std::string model_name_;
+  uint32_t model_id_ = 0;
 };
 
 class DynamicSingleOp {
@@ -79,6 +83,7 @@ class DynamicSingleOp {
                         const vector<void *> &inputs,
                         vector<GeTensorDesc> &output_desc,
                         vector<void *> &outputs);
+  Status ProfilingTaskInfo();
 
   std::unique_ptr<OpTask> op_task_;
   uintptr_t resource_id_ = 0;
@@ -86,6 +91,9 @@ class DynamicSingleOp {
   rtStream_t stream_ = nullptr;
   size_t num_inputs_ = 0;
   size_t num_outputs_ = 0;
+  std::string model_name_;
+  std::string op_name_;
+  uint32_t model_id_ = 0;
 };
 }  // namespace ge
 #endif  // GE_SINGLE_OP_SINGLE_OP_H_
diff --git a/ge/single_op/single_op_model.cc b/ge/single_op/single_op_model.cc
index 49968f4f..f69a273c 100755
--- a/ge/single_op/single_op_model.cc
+++ b/ge/single_op/single_op_model.cc
@@ -157,6 +157,7 @@ Status SingleOpModel::LoadAllNodes() {
   auto ge_model = model_helper_.GetGeModel();
   GE_CHECK_NOTNULL(ge_model);
   Graph graph = ge_model->GetGraph();
+  model_id_ = ge_model->GetModelId();
   auto compute_graph = GraphUtils::GetComputeGraph(graph);
   if (compute_graph == nullptr) {
     GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "[%s] compute_graph is null", model_name_.c_str());
@@ -222,6 +223,8 @@ Status SingleOpModel::SetInputsAndOutputs(SingleOp &single_op) {
   }
 
   single_op.args_.resize(arg_index);
+  single_op.model_name_ = model_name_;
+  single_op.model_id_ = model_id_;
   return SUCCESS;
 }
 
@@ -245,10 +248,11 @@ Status SingleOpModel::BuildTaskList(SingleOp &single_op) {
         if (ret != SUCCESS) {
           return ret;
         }
-
+        string tbe_op_name = op_list_[context.op_index()]->GetName();
         single_op.arg_table_.resize(single_op.input_sizes_.size() + single_op.output_sizes_.size());
         ParseArgTable(tbe_task, single_op);
         single_op.tasks_.emplace_back(tbe_task);
+        single_op.op_name_.emplace_back(tbe_op_name);
       } else if (kernel_type == cce::ccKernelType::AI_CPU || kernel_type == cce::ccKernelType::CUST_AI_CPU) {
         GELOGD("Building AICPU_CC task");
         OpTask *task = nullptr;
@@ -258,7 +262,9 @@ Status SingleOpModel::BuildTaskList(SingleOp &single_op) {
         if (ret != SUCCESS) {
           return ret;
         }
+        string aicpu_op_name = op_list_[context.op_index()]->GetName();
         single_op.tasks_.emplace_back(task);
+        single_op.op_name_.emplace_back(aicpu_op_name);
       } else {
         GELOGE(ACL_ERROR_GE_OP_KERNEL_TYPE_INVALID, "Only TBE, AI_CPU, CUST_AI_CPU kernel are supported, but got %u", context.kernel_type());
         return ACL_ERROR_GE_OP_KERNEL_TYPE_INVALID;
@@ -273,7 +279,9 @@ Status SingleOpModel::BuildTaskList(SingleOp &single_op) {
       if (ret != SUCCESS) {
         return ret;
       }
+      string op_name = op_list_[task_def.kernel_ex().op_index()]->GetName();
       single_op.tasks_.emplace_back(aicpu_task);
+      single_op.op_name_.emplace_back(op_name);
     } else {
       // skip
       GELOGD("Skip task type: %d", static_cast<int>(task_type));
@@ -393,6 +401,8 @@ Status SingleOpModel::BuildModelTaskKernel(const TaskDef &task_def, DynamicSingl
     GELOGD("Building TBE task");
     TbeOpTask *tbe_task = nullptr;
     GE_CHK_STATUS_RET_NOLOG(BuildKernelTask(task_def.kernel(), &tbe_task));
+    string te_op_name = op_list_[context.op_index()]->GetName();
+    single_op.op_name_ = te_op_name;
     single_op.op_task_.reset(tbe_task);
   } else if (kernel_type == cce::ccKernelType::AI_CPU || kernel_type == cce::ccKernelType::CUST_AI_CPU) {
     GELOGD("Building AICPU_CC task");
@@ -400,6 +410,8 @@ Status SingleOpModel::BuildModelTaskKernel(const TaskDef &task_def, DynamicSingl
     uint64_t dynamic_singleop_kernel_id = aicpu_kernel_id++;
     GELOGI("Build dynamic singleOp CCTask, kernel_id = %lu", dynamic_singleop_kernel_id);
     GE_CHK_STATUS_RET_NOLOG(BuildCpuKernelTask(task_def.kernel(), &task, dynamic_singleop_kernel_id));
+    string aicpu_op_name = op_list_[context.op_index()]->GetName();
+    single_op.op_name_ = aicpu_op_name;
     single_op.op_task_.reset(task);
   } else {
     GELOGE(ACL_ERROR_GE_OP_KERNEL_TYPE_INVALID,
@@ -446,6 +458,8 @@ Status SingleOpModel::BuildTaskListForDynamicOp(DynamicSingleOp &single_op) {
         const TaskDef &copy_task_def = tasks[i];
         GE_CHK_STATUS_RET_NOLOG(aicpu_task->SetMemCopyTask(copy_task_def.kernel_ex()));
       }
+      string op_name = op_list_[task_def.kernel_ex().op_index()]->GetName();
+      single_op.op_name_ = op_name;
       single_op.op_task_.reset(aicpu_task);
     } else {
       // skip
@@ -458,6 +472,8 @@ Status SingleOpModel::BuildTaskListForDynamicOp(DynamicSingleOp &single_op) {
 Status SingleOpModel::BuildDynamicOp(DynamicSingleOp &single_op) {
   single_op.num_inputs_ = data_ops_.size();
   single_op.num_outputs_ = netoutput_op_->GetAllInputsSize();
+  single_op.model_name_ = model_name_;
+  single_op.model_id_ = model_id_;
   ParseOpModelParams(model_helper_, model_params_);
   return BuildTaskListForDynamicOp(single_op);
 }
diff --git a/ge/single_op/single_op_model.h b/ge/single_op/single_op_model.h
index 50aeb7ab..5f1c842a 100755
--- a/ge/single_op/single_op_model.h
+++ b/ge/single_op/single_op_model.h
@@ -77,6 +77,7 @@ class SingleOpModel {
   void ParseArgTable(TbeOpTask *task, SingleOp &op);
 
   std::string model_name_;
+  uint32_t model_id_ = 0;
   const void *ori_model_data_;
   uint32_t ori_model_size_;