diff --git a/test100.py b/test100.py
new file mode 100644
index 0000000..a119efe
--- /dev/null
+++ b/test100.py
@@ -0,0 +1,75 @@
+from min_dalle import MinDalle
+import torch
+import time
+
+NUM_TESTS = 50
+
+def generate_image(
+    is_mega: bool,
+    text: str,
+    seed: int,
+    grid_size: int,
+    top_k: int,
+    image_path: str,
+    models_root: str,
+    fp16: bool,
+):
+    model = MinDalle(
+        is_mega=is_mega, 
+        models_root=models_root,
+        is_reusable=False,
+        is_verbose=True,
+        dtype=torch.float16 if fp16 else torch.float32
+    )
+
+    image = model.generate_image(
+        text, 
+        seed, 
+        grid_size, 
+        top_k=top_k, 
+        is_verbose=True
+    )
+
+def run_dalle():
+    generate_image(
+        is_mega=True,
+        text='rich ducks playing poker',
+        seed=0,
+        grid_size=3,
+        top_k=256,
+        image_path='generated',
+        models_root='pretrained',
+        fp16=True,
+    )
+
+if __name__ == '__main__':
+    times = []
+
+    print('Disregarding first two tests...')
+    run_dalle()
+    run_dalle()
+
+    print('Running dalle', NUM_TESTS, 'times...')
+
+    for i in range(NUM_TESTS):
+        start = time.time()
+
+        print()
+        print('Running test', i+1, '/', NUM_TESTS, '...')
+
+        run_dalle()
+
+        duration = time.time() - start
+        print('    Completed in', duration, 's.')
+        times.append(duration)
+
+    print()
+    print()
+    print('Run times:')
+    for t in times:
+        print(t)
+
+    average = sum(times) / NUM_TESTS
+    print()
+    print('Average:', average, '| Max:', max(times), '| Min:', min(times))
+