diff --git a/frigate/data_processing/common/face/model.py b/frigate/data_processing/common/face/model.py
index ecdbfd8a5..ffe09eb42 100644
--- a/frigate/data_processing/common/face/model.py
+++ b/frigate/data_processing/common/face/model.py
@@ -267,7 +267,7 @@ class ArcFaceRecognizer(FaceRecognizer):
     def __init__(self, config: FrigateConfig):
         super().__init__(config)
         self.mean_embs: dict[int, np.ndarray] = {}
-        self.face_embedder: ArcfaceEmbedding = ArcfaceEmbedding(config)
+        self.face_embedder: ArcfaceEmbedding = ArcfaceEmbedding(config.face_recognition)
         self.model_builder_queue: queue.Queue | None = None
 
     def clear(self) -> None:
diff --git a/frigate/embeddings/onnx/face_embedding.py b/frigate/embeddings/onnx/face_embedding.py
index c5d275186..a5272da0f 100644
--- a/frigate/embeddings/onnx/face_embedding.py
+++ b/frigate/embeddings/onnx/face_embedding.py
@@ -10,7 +10,7 @@ from frigate.util.downloader import ModelDownloader
 
 from .base_embedding import BaseEmbedding
 from .runner import ONNXModelRunner
-from ...config import FrigateConfig
+from ...config import FaceRecognitionConfig
 
 try:
     from tflite_runtime.interpreter import Interpreter
@@ -110,7 +110,7 @@ class FaceNetEmbedding(BaseEmbedding):
 
 
 class ArcfaceEmbedding(BaseEmbedding):
-    def __init__(self, config: FrigateConfig):
+    def __init__(self, config: FaceRecognitionConfig):
         super().__init__(
             model_name="facedet",
             model_file="arcface.onnx",
@@ -148,7 +148,7 @@ class ArcfaceEmbedding(BaseEmbedding):
 
             self.runner = ONNXModelRunner(
                 os.path.join(self.download_path, self.model_file),
-                device=self.config.face_recognition.device or "GPU",
+                device=self.config.device or "GPU",
             )
 
     def _preprocess_inputs(self, raw_inputs):