diff --git a/benchmark/testtime.py b/benchmark/testtime.py
new file mode 100644
index 0000000..c695d5f
--- /dev/null
+++ b/benchmark/testtime.py
@@ -0,0 +1,29 @@
+import cv2
+import sys
+sys.path.append('.')
+import time
+import torch
+import torch.nn as nn
+from model.RIFE import Model
+
+model = Model()
+model.eval()
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+torch.set_grad_enabled(False)
+if torch.cuda.is_available():
+    torch.backends.cudnn.enabled = True
+    torch.backends.cudnn.benchmark = True
+       
+I0 = torch.rand(1, 3, 480, 640).to(device)
+I1 = torch.rand(1, 3, 480, 640).to(device)
+with torch.no_grad():
+    for i in range(100):
+        pred = model.inference(I0, I1)
+    if torch.cuda.is_available():
+        torch.cuda.synchronize()
+    time_stamp = time.time()
+    for i in range(100):
+        pred = model.inference(I0, I1)
+    if torch.cuda.is_available():
+        torch.cuda.synchronize()
+    print((time.time() - time_stamp) / 100)