diff --git a/mobile/lib/services/machine_learning/face_ml/face_filtering/face_filtering_constants.dart b/mobile/lib/services/machine_learning/face_ml/face_filtering/face_filtering_constants.dart
index 6606e858e..2ba6fbe47 100644
--- a/mobile/lib/services/machine_learning/face_ml/face_filtering/face_filtering_constants.dart
+++ b/mobile/lib/services/machine_learning/face_ml/face_filtering/face_filtering_constants.dart
@@ -7,7 +7,7 @@ const kLaplacianThreshold = 15;
 const kLapacianDefault = 10000.0;
 
 /// The minimum score for a face to be considered a high quality face for clustering and person detection
-const kMinHighQualityFaceScore = 0.78;
+const kMinHighQualityFaceScore = 0.80;
 
 /// The minimum score for a face to be detected, regardless of quality. Use [kMinHighQualityFaceScore] for high quality faces.
 const kMinFaceDetectionScore = YoloOnnxFaceDetection.kMinScoreSigmoidThreshold;
diff --git a/mobile/lib/ui/settings/debug/face_debug_section_widget.dart b/mobile/lib/ui/settings/debug/face_debug_section_widget.dart
index 937201be9..e09574356 100644
--- a/mobile/lib/ui/settings/debug/face_debug_section_widget.dart
+++ b/mobile/lib/ui/settings/debug/face_debug_section_widget.dart
@@ -159,7 +159,7 @@ class _FaceDebugSectionWidgetState extends State<FaceDebugSectionWidget> {
           trailingIconIsMuted: true,
           onTap: () async {
             await FaceMlService.instance
-                .clusterAllImages(minFaceScore: 0.75, clusterInBuckets: true);
+                .clusterAllImages(clusterInBuckets: true);
             Bus.instance.fire(PeopleChangedEvent());
             showShortToast(context, "Done");
           },
diff --git a/mobile/lib/ui/viewer/file_details/faces_item_widget.dart b/mobile/lib/ui/viewer/file_details/faces_item_widget.dart
index 68de105c7..608c426c9 100644
--- a/mobile/lib/ui/viewer/file_details/faces_item_widget.dart
+++ b/mobile/lib/ui/viewer/file_details/faces_item_widget.dart
@@ -60,7 +60,7 @@ class FacesItemWidget extends StatelessWidget {
       faces.sort((Face a, Face b) => b.score.compareTo(a.score));
 
       // Remove faces with low scores and blurry faces
-      faces.removeWhere((face) => face.isHighQuality == false);
+      faces.removeWhere((face) => (face.isBlurry || face.score < 0.75));
 
       // TODO: add deduplication of faces of same person
       final faceIdsToClusterIds = await FaceMLDataDB.instance