diff --git a/frigate/app.py b/frigate/app.py
index 65dc19472..5fdfe2d02 100644
--- a/frigate/app.py
+++ b/frigate/app.py
@@ -89,11 +89,12 @@ class FrigateApp:
         self.log_queue: Queue = mp.Queue()
         self.camera_metrics: dict[str, CameraMetrics] = {}
         self.embeddings_metrics: DataProcessorMetrics | None = (
-            DataProcessorMetrics()
+            DataProcessorMetrics(config.classification.custom)
             if (
                 config.semantic_search.enabled
                 or config.lpr.enabled
                 or config.face_recognition.enabled
+                or len(config.classification.custom) > 0
             )
             else None
         )
diff --git a/frigate/data_processing/types.py b/frigate/data_processing/types.py
index 5d083b32e..783b0798e 100644
--- a/frigate/data_processing/types.py
+++ b/frigate/data_processing/types.py
@@ -20,8 +20,10 @@ class DataProcessorMetrics:
     alpr_pps: Synchronized
     yolov9_lpr_speed: Synchronized
     yolov9_lpr_pps: Synchronized
+    classification_speeds: dict[str, Synchronized]
+    classification_cps: dict[str, Synchronized]
 
-    def __init__(self):
+    def __init__(self, custom_classification_models: list[str]):
         self.image_embeddings_speed = mp.Value("d", 0.0)
         self.image_embeddings_eps = mp.Value("d", 0.0)
         self.text_embeddings_speed = mp.Value("d", 0.0)
@@ -33,6 +35,13 @@ class DataProcessorMetrics:
         self.yolov9_lpr_speed = mp.Value("d", 0.0)
         self.yolov9_lpr_pps = mp.Value("d", 0.0)
 
+        if custom_classification_models:
+            self.classification_speeds = {}
+            self.classification_cps = {}
+            for key in custom_classification_models:
+                self.classification_speeds[key] = mp.Value("d", 0.0)
+                self.classification_cps[key] = mp.Value("d", 0.0)
+
 
 class DataProcessorModelRunner:
     def __init__(self, requestor, device: str = "CPU", model_size: str = "large"):