diff --git a/mobile/lib/services/machine_learning/face_ml/face_clustering/linear_clustering_service.dart b/mobile/lib/services/machine_learning/face_ml/face_clustering/linear_clustering_service.dart
index c427cbc930..5e0855eb47 100644
--- a/mobile/lib/services/machine_learning/face_ml/face_clustering/linear_clustering_service.dart
+++ b/mobile/lib/services/machine_learning/face_ml/face_clustering/linear_clustering_service.dart
@@ -131,12 +131,13 @@ class FaceLinearClustering {
         final errorStackTrace = receivedMessage['stackTrace'];
         final exception = Exception(errorMessage);
         final stackTrace = StackTrace.fromString(errorStackTrace);
+        _activeTasks--;
         completer.completeError(exception, stackTrace);
       } else {
+        _activeTasks--;
         completer.complete(receivedMessage);
       }
     });
-    _activeTasks--;
 
     return completer.future;
   }
diff --git a/mobile/lib/services/machine_learning/face_ml/face_ml_service.dart b/mobile/lib/services/machine_learning/face_ml/face_ml_service.dart
index 4ca13b8d9d..81682e30a4 100644
--- a/mobile/lib/services/machine_learning/face_ml/face_ml_service.dart
+++ b/mobile/lib/services/machine_learning/face_ml/face_ml_service.dart
@@ -374,11 +374,16 @@ class FaceMlService {
       final faceIdToEmbedding = await FaceMLDataDB.instance.getFaceEmbeddingMap(
         minScore: minFaceScore,
       );
-      _logger.info('read embeddings ${faceIdToEmbedding.length} ');
+      final gotFaceEmbeddingsTime = DateTime.now();
+      _logger.info(
+        'read embeddings ${faceIdToEmbedding.length} in ${gotFaceEmbeddingsTime.difference(clusterStartTime).inMilliseconds} ms',
+      );
 
       // Read the creation times from Files DB, in a map from fileID to creation time
       final fileIDToCreationTime =
           await FilesDB.instance.getFileIDToCreationTime();
+      _logger.info('read creation times from FilesDB in '
+          '${DateTime.now().difference(gotFaceEmbeddingsTime).inMilliseconds} ms');
 
       // Cluster the embeddings using the linear clustering algorithm, returning a map from faceID to clusterID
       final faceIdToCluster = await FaceLinearClustering.instance.predict(