diff --git a/torch_npu/profiler/dynamic_profile.py b/torch_npu/profiler/dynamic_profile.py
index 99bfd76f7263e115b2839e07a4bc8948b8969f64..313fe7d388f078fed4a63ffd668f531136a132a7 100644
--- a/torch_npu/profiler/dynamic_profile.py
+++ b/torch_npu/profiler/dynamic_profile.py
@@ -3,6 +3,7 @@ import json
 import atexit
 import time
 
+from ..npu import mstx, current_stream
 from .profiler import tensorboard_trace_handler, profile
 from .scheduler import Schedule as schedule
 
@@ -38,6 +39,7 @@ class _DynamicProfile:
         self._step_record_time = None
         self._step_time = 0
         self._min_poll_interval = 1
+        self._step_mstx_range_id = 0
 
     def init(self):
         if self.repeat_init:
@@ -78,6 +80,9 @@ class _DynamicProfile:
             self._step_time = max(self._min_poll_interval, int(time.time() - self._step_record_time))
             self._dynamic_monitor.modify_step_time(self._step_time)
         if self.prof:
+            if self._step_mstx_range_id:
+                mstx.range_end(self._step_mstx_range_id)
+                self._step_mstx_range_id = mstx.range_start(f"step {self.cur_step}", current_stream())
             self.prof.step()
             self.step_num -= 1
             if 0 == self.step_num:
@@ -138,7 +143,9 @@ class _DynamicProfile:
             with_modules=self.cfg_ctx.with_modules,
             experimental_config=self.cfg_ctx.experimental_config
         )
+        self.prof._set_step_num_offset_for_dynamic_prof(self.cur_step)
         self.prof.start()
+        self._step_mstx_range_id = mstx.range_start(f"step {self.cur_step}", current_stream())
         for key, value in self.cfg_ctx.meta_data().items():
             self.prof.add_metadata_json(str(key), json.dumps(value))
         DynamicProfilerUtils.out_log("Start Dynamic Profiler at {} step.".format(
diff --git a/torch_npu/profiler/profiler.py b/torch_npu/profiler/profiler.py
index 409013114a8302ad7a7130387ad17352479968f6..65fbf5b03863adc1fda618cf83bdb778c7755192 100644
--- a/torch_npu/profiler/profiler.py
+++ b/torch_npu/profiler/profiler.py
@@ -229,6 +229,7 @@ class profile(_KinetoProfile):
         self.on_trace_ready = on_trace_ready
         self.step_num = 0
         self.current_action = self.schedule(self.step_num)
+        self._step_num_offset = 0
         self.step_rec_fn: Optional[prof.record_function] = None
         if use_cuda is not None:
             print_warn_msg("This is npu environment, use_cuda is invalid")
@@ -249,6 +250,10 @@ class profile(_KinetoProfile):
         if self.stopped == False:
             self.stop()
 
+    @no_exception_func()
+    def _set_step_num_offset_for_dynamic_prof(self, step: int):
+        self._step_num_offset = step
+
     @no_exception_func()
     def start(self):
         self.stopped = False
@@ -256,7 +261,7 @@ class profile(_KinetoProfile):
             ProfPathCreator().init(export_only_mode=True)
         self.action_controller.transit_action(ProfilerAction.NONE, self.current_action)
         if self.record_steps:
-            self.step_rec_fn = prof.record_function("ProfilerStep#" + str(self.step_num))
+            self.step_rec_fn = prof.record_function("ProfilerStep#" + str(self.step_num + self._step_num_offset))
             self.step_rec_fn.__enter__()
 
     @no_exception_func()