diff --git a/benchmark.py b/benchmark.py
deleted file mode 100644
index 0b94477..0000000
--- a/benchmark.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import logging
-import time
-import numpy as np
-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():
-        start_time = time.perf_counter()
-
-        logits_per_image, _ = model(image, text)
-        probs = logits_per_image.softmax(dim=-1).cpu().numpy()
-
-        end_time = time.perf_counter()
-        logger.info(f"Execution time: {end_time - start_time:.4f} seconds")
-    return probs, end_time - start_time
-
-
-def run_n_times(model_name, device, n):
-    times = []
-    logger.info(f"Running {model_name} on {device} {n} times")
-    for _ in range(n):
-        logger.info(f"Run {_ + 1} of {n}")
-        _, time = run_model(model_name, device)
-        times.append(time)
-    return np.mean(times)
-
-
-if __name__ == "__main__":
-    hpu_time = run_n_times("RN50", "hpu", 10)
-    cpu_time = run_n_times("RN50", "cpu", 10)
-
-    logger.info(f"HPU time: {hpu_time:.4f} seconds")
-    logger.info(f"CPU time: {cpu_time:.4f} seconds")