diff --git a/optimum/utils/normalized_config.py b/optimum/utils/normalized_config.py
index 21470cb61f..1751d728b7 100644
--- a/optimum/utils/normalized_config.py
+++ b/optimum/utils/normalized_config.py
@@ -222,7 +222,6 @@ class NormalizedConfigManager:
         'clip',
         'convbert',
         'convnext',
-        'convnextv2',
         'data2vec-text',
         'data2vec-vision',
         'detr',
@@ -259,6 +258,7 @@ class NormalizedConfigManager:
         "falcon": NormalizedTextConfig,
         "camembert": NormalizedTextConfig,
         "codegen": GPT2LikeNormalizedTextConfig,
+        "convnextv2": NormalizedVisionConfig,
         "cvt": NormalizedVisionConfig,
         "deberta": NormalizedTextConfig,
         "deberta-v2": NormalizedTextConfig,
diff --git a/tests/utils/test_normalized_config.py b/tests/utils/test_normalized_config.py
new file mode 100644
index 0000000000..30fe4e269c
--- /dev/null
+++ b/tests/utils/test_normalized_config.py
@@ -0,0 +1,34 @@
+# coding=utf-8
+# Copyright 2022 The HuggingFace Team. All rights reserved.
+#
+# 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.
+
+import unittest
+
+from transformers import ConvNextV2Config
+
+from optimum.utils.normalized_config import NormalizedConfigManager, NormalizedVisionConfig
+
+
+class NormalizedConfigManagerTest(unittest.TestCase):
+    def test_convnextv2_is_registered(self):
+        config_class = NormalizedConfigManager.get_normalized_config_class("convnextv2")
+        self.assertIs(config_class, NormalizedVisionConfig)
+
+    def test_convnextv2_normalizes_expected_attributes(self):
+        config = ConvNextV2Config()
+        normalized_config_class = NormalizedConfigManager.get_normalized_config_class("convnextv2")
+        normalized_config = normalized_config_class(config)
+
+        self.assertEqual(normalized_config.image_size, config.image_size)
+        self.assertEqual(normalized_config.num_channels, config.num_channels)