diff --git a/mindspore-lite/test/config_level0/ascend/prof.json b/mindspore-lite/test/config_level0/ascend/prof.json
new file mode 100644
index 0000000000000000000000000000000000000000..148b66c7680706b336024573c612dc50cbaef644
--- /dev/null
+++ b/mindspore-lite/test/config_level0/ascend/prof.json
@@ -0,0 +1,7 @@
+{
+  "profiler": {
+    "switch": "on",
+    "output": "./profiling",
+    "aicpu": "on"
+  }
+}
\ No newline at end of file
diff --git a/mindspore-lite/test/st/python/python_api/test_acl_profiling.py b/mindspore-lite/test/st/python/python_api/test_acl_profiling.py
new file mode 100644
index 0000000000000000000000000000000000000000..3b9a92157961126dfaafb1e1bda56f80464b2f07
--- /dev/null
+++ b/mindspore-lite/test/st/python/python_api/test_acl_profiling.py
@@ -0,0 +1,73 @@
+# Copyright 2025 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+"""
+Test for MindSpore Lite Profiling of Ascend ALC
+"""
+
+import os
+import pytest
+import mindspore_lite as mslite
+import numpy as np
+
+# ----------- config file -----------
+# [acl_build_options]
+# input_format="ND"
+# input_shape="sample:2,4,-1,-1;timestep:1;encoder_hidden_states:2,77,768"
+# ge.dynamicDims="64,64;96,96"
+
+MODEL_FILE = "./sd1.5_unet.onnx_graph.mindir"
+DEVICE_ID = 0
+
+
+def test_acl_profiling_with_config_file():
+    """
+    test profiling with config file
+    """
+    context = mslite.Context()
+    context.target = ["ascend"]
+    context.ascend.device_id = DEVICE_ID
+    model = mslite.Model()
+    profiling_config = {"ascend_context": {"profiling_config_file": "./prof.json"}}
+    model.build_from_file(model_path=MODEL_FILE, model_type=mslite.ModelType.MINDIR, context=context,
+                          config_dict=profiling_config)
+
+    input_data_1 = np.random.rand(2, 4, 96, 96).astype(np.float32)
+    input_data_2 = np.random.rand(1).astype(np.float32)
+    input_data_3 = np.random.rand(2, 77, 768).astype(np.float32)
+
+    model.resize(model.get_inputs(), [[2, 4, 96, 96], [1], [2, 77, 768]])
+    model.predict([input_data_1, input_data_2, input_data_3])
+    path_list = os.listdir("./profiling")
+    assert len(path_list) == 1
+    prof_path = os.path.join("./profiling", path_list[0])
+    prof_file_list = os.listdir(prof_path)
+    assert len(prof_file_list) == 2
+    assert "device_" + str(DEVICE_ID) in prof_file_list
+    assert "host" in prof_file_list
+
+
+def test_acl_profiling_without_config_file():
+    """
+    test profiling without config file
+    """
+    context = mslite.Context()
+    context.target = ["ascend"]
+    context.ascend.device_id = DEVICE_ID
+    model = mslite.Model()
+    profiling_config = {"ascend_context": {"profiling_config_file": "./xx.json"}}
+    with pytest.raises(RuntimeError) as raise_info:
+        model.build_from_file(model_path=MODEL_FILE, model_type=mslite.ModelType.MINDIR, context=context,
+                              config_dict=profiling_config)
+    assert "build_from_file failed! Error is Common error code." in str(raise_info.value)
diff --git a/mindspore-lite/test/st/scripts/ascend/run_cloud_arm_a2.sh b/mindspore-lite/test/st/scripts/ascend/run_cloud_arm_a2.sh
index 81975e679395cb2027d8641c0a84a331c2c822f0..2a21c3d153dee571a67ee07caaf99a7dfe71475e 100644
--- a/mindspore-lite/test/st/scripts/ascend/run_cloud_arm_a2.sh
+++ b/mindspore-lite/test/st/scripts/ascend/run_cloud_arm_a2.sh
@@ -388,6 +388,7 @@ echo "---------- Run MindSpore Lite API ----------"
 cd ${basepath}/python/python_api/  || exit 1 
 cp -r ${ms_models_path}/sd1.5_unet.onnx* . || exit 1 # for Model Predict ST
 cp -r ${ms_models_path}/single_matmul_model.onnx.mindir . || exit 1 # for Update weights ST
+cp -r ${basepath}/../${config_folder}/ascend/prof.json . || exit 1 # for test profiling
 #for code coverage in A2
 if [[ "${MSLITE_ENABLE_COVERAGE}" == "on" || "${MSLITE_ENABLE_COVERAGE}" == "ON" ]]; then
     echo "MSLITE_ENABLE_COVERAGE: ${MSLITE_ENABLE_COVERAGE}, MSLITE_COVERAGE_FILE: ${MSLITE_COVERAGE_FILE}"
@@ -396,12 +397,14 @@ if [[ "${MSLITE_ENABLE_COVERAGE}" == "on" || "${MSLITE_ENABLE_COVERAGE}" == "ON"
     python3 -m coverage run --rcfile=${MSLITE_COVERAGE_FILE} -m pytest test_model_parallel_runner.py || exit 1
     python3 -m coverage run --rcfile=${MSLITE_COVERAGE_FILE} -m pytest test_model_info.py || exit 1
     python3 -m coverage run --rcfile=${MSLITE_COVERAGE_FILE} -m pytest test_update_weight.py || exit 1
+    python3 -m coverage run --rcfile=${MSLITE_COVERAGE_FILE} -m pytest test_acl_profiling.py || exit 1
 else
     pytest test_tensor.py || exit 1
     pytest test_model.py || exit 1
     pytest test_model_parallel_runner.py || exit 1
     pytest test_model_info.py || exit 1
     pytest test_update_weight.py || exit 1
+    pytest test_acl_profiling.py || exit 1
 fi
 echo "---------- Run MindSpore Lite API SUCCESS ----------"
 #---------------------------------------------------------