diff --git a/benchmark.py b/benchmark.py
new file mode 100644
index 0000000..c31bbef
--- /dev/null
+++ b/benchmark.py
@@ -0,0 +1,37 @@
+import logging
+import time
+import numpy as np
+import habana_frameworks.torch.core as ht
+import torch
+from PIL import Image
+
+import clip
+from clip.utils import get_device_initial
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+def run_model(model_name, device):
+    model, transform = clip.load(model_name, device=get_device_initial(device), jit=False)
+
+    image = transform(Image.open("CLIP.png")).unsqueeze(0).to(device)
+    text = clip.tokenize(["a diagram", "a dog", "a cat"]).to(device)
+
+    with torch.no_grad():
+        logits_per_image, _ = model(image, text)
+        probs = logits_per_image.softmax(dim=-1).cpu().numpy()
+    return probs
+
+
+if __name__ == "__main__":
+    logger.info("Running on HPU")
+    start_time = time.time()
+    run_model("RN50", "hpu")
+    end_time = time.time()
+    logger.info(f"HPU execution time: {end_time - start_time:.4f} seconds")
+
+    logger.info("Running on CPU")
+    start_time = time.time()
+    run_model("RN50", "cpu")
+    end_time = time.time()
+    logger.info(f"CPU execution time: {end_time - start_time:.4f} seconds")