使用asyncio加载文件的速度对比：同步为何快于异步？

我正在编写一段代码，需要将一个Python集合与其他多个集合进行比较，并保留交集长度最小的文件名。目前已有一个同步版本，但想通过async/await优化性能，于是先对集合加载环节做对比测试：编写脚本将一个小集合写入磁盘，然后读取100次。但意外发现同步版本的速度快很多，这种情况是否正常？还是我的代码存在问题？

同步版本代码 #

import pickle
import asyncio
import time 
import aiofiles

pickle.dump(set(range(1000)), open('set.pkl', 'wb'))

def count():
    print("Started Loading")
    with open('set.pkl', mode='rb') as f:
        contents = pickle.loads(f.read())
    print("Finishd Loading")

def main():
    for _ in range(100):
        count()

if __name__ == "__main__":
    s = time.perf_counter()
    main()
    elapsed = time.perf_counter() - s
    print(f"{__file__} executed in {elapsed:0.3f} seconds.")

异步版本代码 #

import pickle
import asyncio
import time 
import aiofiles

pickle.dump(set(range(1000)), open('set.pkl', 'wb'))

async def count():
    print("Started Loading")
    async with aiofiles.open('set.pkl', mode='rb') as f:
        contents = pickle.loads(await f.read())
    print("Finishd Loading")

async def main():
    await asyncio.gather(*(count() for _ in range(100)))

if __name__ == "__main__":
    import time
    s = time.perf_counter()
    asyncio.run(main())
    elapsed = time.perf_counter() - s
    print(f"{__file__} executed in {elapsed:0.3f} seconds.")

执行结果 #

async.py executed in 0.052 seconds.
sync.py executed in 0.011 seconds.

内容的提问来源于stack exchange，提问作者user3715117