diff --git a/desktop/src/main/services/ml-worker.ts b/desktop/src/main/services/ml-worker.ts
index d6e61eeb7d..40c1c5fb5e 100644
--- a/desktop/src/main/services/ml-worker.ts
+++ b/desktop/src/main/services/ml-worker.ts
@@ -220,7 +220,7 @@ const cachedCLIPImageSession = makeCachedInferenceSession(
 export const computeCLIPImageEmbedding = async (input: Float32Array) => {
     const session = await cachedCLIPImageSession();
     const feeds = {
-        input: new ort.Tensor("float32", input, [1, 3, 224, 224]),
+        input: new ort.Tensor("float32", input, [1, 3, 256, 256]),
     };
     const t = Date.now();
     const results = await session.run(feeds);
diff --git a/web/packages/new/photos/services/ml/clip.ts b/web/packages/new/photos/services/ml/clip.ts
index 78eff1c04d..c61cb5b535 100644
--- a/web/packages/new/photos/services/ml/clip.ts
+++ b/web/packages/new/photos/services/ml/clip.ts
@@ -120,8 +120,7 @@ const computeEmbedding = async (
  * Convert {@link imageData} into the format that the CLIP model expects.
  */
 const convertToCLIPInput = (imageData: ImageData) => {
-    const requiredWidth = 224;
-    const requiredHeight = 224;
+    const [requiredWidth, requiredHeight] = [256, 256];
 
     const mean = [0.48145466, 0.4578275, 0.40821073] as const;
     const std = [0.26862954, 0.26130258, 0.27577711] as const;