Batch Inference with RetinaFace is slower than single image inference of Insightface

[zeahmd]

`
import numpy as np
from insightface.app import FaceAnalysis
import cv2
import matplotlib.pyplot as plt
import time
from batch_face import RetinaFace

img = cv2.imread('/home/zeeshan/Downloads/musk.jpg')
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
img = cv2.resize(img, (640, 640))
plt.imshow(img)

model = FaceAnalysis(allowed_modules=['detection'],
providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
model.prepare(ctx_id=0)
detector = RetinaFace(gpu_id=0)

tik = time.time()
faces = model.get(img)
faces = model.get(img)
faces = model.get(img)
faces = model.get(img)
faces = model.get(img)
print(f"time taken: {time.time()-tik}")

tik = time.time()
faces = detector.detect([img, img, img, img, img])
print(f"time taken: {time.time()-tik}")
`
@elliottzheng could you please have a look at this code and help me to solve this issue?