diff --git a/frigate/data_processing/types.py b/frigate/data_processing/types.py
index 2f9c99b52..3e29966c7 100644
--- a/frigate/data_processing/types.py
+++ b/frigate/data_processing/types.py
@@ -17,7 +17,9 @@ class DataProcessorMetrics:
 
     def __init__(self):
         self.image_embeddings_speed = mp.Value("d", 0.01)
+        self.image_embeddings_eps = mp.Value("d", 0.0)
         self.text_embeddings_speed = mp.Value("d", 0.01)
+        self.text_embeddings_eps = mp.Value("d", 0.0)
         self.face_rec_speed = mp.Value("d", 0.01)
         self.face_rec_fps = mp.Value("d", 0.0)
         self.alpr_speed = mp.Value("d", 0.01)
diff --git a/frigate/embeddings/embeddings.py b/frigate/embeddings/embeddings.py
index 667da0559..6eb060560 100644
--- a/frigate/embeddings/embeddings.py
+++ b/frigate/embeddings/embeddings.py
@@ -21,7 +21,7 @@ from frigate.data_processing.types import DataProcessorMetrics
 from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.models import Event
 from frigate.types import ModelStatusTypesEnum
-from frigate.util.builtin import serialize
+from frigate.util.builtin import EventsPerSecond, serialize
 from frigate.util.path import get_event_thumbnail_bytes
 
 from .onnx.jina_v1_embedding import JinaV1ImageEmbedding, JinaV1TextEmbedding
@@ -75,6 +75,11 @@ class Embeddings:
         self.metrics = metrics
         self.requestor = InterProcessRequestor()
 
+        self.image_eps = EventsPerSecond()
+        self.image_eps.start()
+        self.text_eps = EventsPerSecond()
+        self.text_eps.start()
+
         self.reindex_lock = threading.Lock()
         self.reindex_thread = None
         self.reindex_running = False
@@ -120,6 +125,10 @@ class Embeddings:
                 device="GPU" if config.semantic_search.model_size == "large" else "CPU",
             )
 
+    def update_stats(self) -> None:
+        self.metrics.image_embeddings_eps = self.image_eps.eps()
+        self.metrics.text_embeddings_eps = self.text_eps.eps()
+
     def get_model_definitions(self):
         # Version-specific models
         if self.config.semantic_search.model == SemanticSearchModelEnum.jinav2:
@@ -178,6 +187,7 @@ class Embeddings:
         self.metrics.image_embeddings_speed.value = (
             self.metrics.image_embeddings_speed.value * 9 + duration
         ) / 10
+        self.image_eps.update()
 
         return embedding
 
@@ -199,6 +209,7 @@ class Embeddings:
             for i in range(len(ids)):
                 items.append(ids[i])
                 items.append(serialize(embeddings[i]))
+                self.image_eps.update()
 
             self.db.execute_sql(
                 """
@@ -234,6 +245,7 @@ class Embeddings:
         self.metrics.text_embeddings_speed.value = (
             self.metrics.text_embeddings_speed.value * 9 + duration
         ) / 10
+        self.text_eps.update()
 
         return embedding
 
@@ -254,6 +266,7 @@ class Embeddings:
             for i in range(len(ids)):
                 items.append(ids[i])
                 items.append(serialize(embeddings[i]))
+                self.text_eps.update()
 
             self.db.execute_sql(
                 """
diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index 85b0e6d54..7554b12c6 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -236,6 +236,7 @@ class EmbeddingMaintainer(threading.Thread):
             return
 
         camera_config = self.config.cameras[camera]
+        self.embeddings.update_stats()
 
         # no need to process updated objects if face recognition, lpr, genai are disabled
         if not camera_config.genai.enabled and len(self.realtime_processors) == 0:
diff --git a/frigate/stats/util.py b/frigate/stats/util.py
index cb7ed75fd..d8dd16504 100644
--- a/frigate/stats/util.py
+++ b/frigate/stats/util.py
@@ -295,9 +295,15 @@ def stats_snapshot(
                     "image_embedding_speed": round(
                         embeddings_metrics.image_embeddings_speed.value * 1000, 2
                     ),
+                    "image_embedding": round(
+                        embeddings_metrics.image_embeddings_eps.value, 2
+                    ),
                     "text_embedding_speed": round(
                         embeddings_metrics.text_embeddings_speed.value * 1000, 2
                     ),
+                    "text_embedding": round(
+                        embeddings_metrics.text_embeddings_eps.value, 2
+                    ),
                 }
             )