diff --git a/web/apps/photos/src/services/machineLearning/faceService.ts b/web/apps/photos/src/services/machineLearning/faceService.ts
index b6a7da097..6318650f6 100644
--- a/web/apps/photos/src/services/machineLearning/faceService.ts
+++ b/web/apps/photos/src/services/machineLearning/faceService.ts
@@ -220,8 +220,7 @@ class FaceService {
             face.detection,
         );
 
-        const blobOptions = DEFAULT_ML_SYNC_CONFIG.faceCrop.blobOptions;
-        const blob = await imageBitmapToBlob(faceCrop.image, blobOptions);
+        const blob = await imageBitmapToBlob(faceCrop.image);
 
         const cache = await openCache("face-crops");
         await cache.put(face.id, blob);
diff --git a/web/apps/photos/src/utils/image/index.ts b/web/apps/photos/src/utils/image/index.ts
index bdaf64d73..b6f1d22aa 100644
--- a/web/apps/photos/src/utils/image/index.ts
+++ b/web/apps/photos/src/utils/image/index.ts
@@ -450,17 +450,17 @@ export interface BlobOptions {
     quality?: number;
 }
 
-export async function imageBitmapToBlob(
-    imageBitmap: ImageBitmap,
-    options?: BlobOptions,
-) {
+export async function imageBitmapToBlob(imageBitmap: ImageBitmap) {
     const offscreen = new OffscreenCanvas(
         imageBitmap.width,
         imageBitmap.height,
     );
     offscreen.getContext("2d").drawImage(imageBitmap, 0, 0);
 
-    return offscreen.convertToBlob(options);
+    return offscreen.convertToBlob({
+        type: "image/jpeg",
+        quality: 0.8,
+    });
 }
 
 export async function imageBitmapFromBlob(blob: Blob) {