diff --git a/deepface/models/demography/Age.py b/deepface/models/demography/Age.py
index 5bc409f..7284aad 100644
--- a/deepface/models/demography/Age.py
+++ b/deepface/models/demography/Age.py
@@ -54,8 +54,8 @@ class ApparentAgeClient(Demography):
         # Preprocessing input image or image list.
         imgs = self._preprocess_batch_or_single_input(img)
 
-        # Batch prediction
-        age_predictions = self.model.predict_on_batch(imgs)
+        # Prediction
+        age_predictions = self._predict_internal(imgs)
         
         # Calculate apparent ages
         apparent_ages = np.array(
diff --git a/deepface/models/demography/Emotion.py b/deepface/models/demography/Emotion.py
index 10e5115..e6ebf5f 100644
--- a/deepface/models/demography/Emotion.py
+++ b/deepface/models/demography/Emotion.py
@@ -78,8 +78,8 @@ class EmotionClient(Demography):
         # Add channel dimension for grayscale images
         processed_imgs = np.expand_dims(processed_imgs, axis=-1)
 
-        # Batch prediction
-        predictions = self.model.predict_on_batch(processed_imgs)
+        # Prediction
+        predictions = self._predict_internal(processed_imgs)
 
         return predictions
 
diff --git a/deepface/models/demography/Gender.py b/deepface/models/demography/Gender.py
index f7e705e..b6a3ef1 100644
--- a/deepface/models/demography/Gender.py
+++ b/deepface/models/demography/Gender.py
@@ -54,8 +54,8 @@ class GenderClient(Demography):
         # Preprocessing input image or image list.
         imgs = self._preprocess_batch_or_single_input(img)
 
-        # Batch prediction
-        predictions = self.model.predict_on_batch(imgs)
+        # Prediction
+        predictions = self._predict_internal(imgs)
 
         return predictions
 
diff --git a/deepface/models/demography/Race.py b/deepface/models/demography/Race.py
index 0c6a2f0..eae5154 100644
--- a/deepface/models/demography/Race.py
+++ b/deepface/models/demography/Race.py
@@ -54,8 +54,8 @@ class RaceClient(Demography):
         # Preprocessing input image or image list.
         imgs = self._preprocess_batch_or_single_input(img)
 
-        # Batch prediction
-        predictions = self.model.predict_on_batch(imgs)
+        # Prediction
+        predictions = self._predict_internal(imgs)
 
         return predictions