diff --git a/mmdeploy/codebase/mmcls/models/classifiers/base.py b/mmdeploy/codebase/mmcls/models/classifiers/base.py
index c50baa28c..558919c5b 100644
--- a/mmdeploy/codebase/mmcls/models/classifiers/base.py
+++ b/mmdeploy/codebase/mmcls/models/classifiers/base.py
@@ -35,9 +35,11 @@ def base_classifier__forward(
     if self.head is not None:
         output = self.head(output)
 
-    from mmcls.models.heads import MultiLabelClsHead
+    from mmcls.models.heads import ConformerHead, MultiLabelClsHead
     if isinstance(self.head, MultiLabelClsHead):
         output = torch.sigmoid(output)
+    elif isinstance(self.head, ConformerHead):
+        output = F.softmax(torch.add(output[0], output[1]), dim=1)
     else:
         output = F.softmax(output, dim=1)
     return output
diff --git a/tests/regression/mmcls.yml b/tests/regression/mmcls.yml
index 12a3c071a..a4b5a905e 100644
--- a/tests/regression/mmcls.yml
+++ b/tests/regression/mmcls.yml
@@ -228,3 +228,11 @@ models:
       - *pipeline_ort_static_fp32
       - convert_image: *convert_image
         deploy_config: configs/mmcls/classification_tensorrt_dynamic-224x224-224x224.py
+
+  - name: Conformer
+    metafile: configs/conformer/metafile.yml
+    model_configs:
+      - configs/conformer/conformer-tiny-p16_8xb128_in1k.py
+    pipelines:
+      - *pipeline_ort_dynamic_fp32
+      - *pipeline_trt_dynamic_fp32