inference is too slow

"I want to ask why the propagation in video is so slow? I'm just processing a 17-second video, but it takes nearly an hour and a half. Can you help me figure out what is causing this?
my GPU is 3060Ti 12GB

my code is below:
video_segments = {} # video_segments contains the per-frame segmentation results
with tqdm(total=len(tracks["ball"]),desc="SAM2 ball init") as pbar:
for frame_index, track_item in enumerate(tracks["ball"]):
if isinstance(track_item, dict) and 'bbox' in track_item:
bbox = track_item['bbox']
box = np.array(bbox, dtype=np.float32)
frame_idx, object_ids, masks = predictor.add_new_points_or_box(
inference_state=state,
frame_idx=frame_index,
obj_id=ann_obj_ball_id,
box=box
)
pbar.update(1)

with tqdm(total=len(tracks["net"]),desc="SAM2 net init") as pbar:
for frame_index, track_item in enumerate(tracks["net"]):
if isinstance(track_item, dict) and 'bbox' in track_item:
bbox = track_item['bbox']
box = np.array(bbox, dtype=np.float32)
frame_idx, object_ids, masks = predictor.add_new_points_or_box(
inference_state=state,
frame_idx=frame_index,
obj_id=ann_obj_net_id,
box=box
)
pbar.update(1)

for frame_idx, object_ids, masks in predictor.propagate_in_video(state):
video_segments[frame_idx] = {
out_obj_id: (masks[i] > 0.0).cpu().numpy()
for i, out_obj_id in enumerate(object_ids)
}