diff --git a/tools/infer/predict_rec.py b/tools/infer/predict_rec.py
index f15ab09e59..a1a258dae0 100755
--- a/tools/infer/predict_rec.py
+++ b/tools/infer/predict_rec.py
@@ -37,7 +37,9 @@
 
 
 class TextRecognizer(object):
-    def __init__(self, args):
+    def __init__(self, args, logger=None):
+        if logger is None:
+            logger = get_logger()
         self.rec_image_shape = [int(v) for v in args.rec_image_shape.split(",")]
         self.rec_batch_num = args.rec_batch_num
         self.rec_algorithm = args.rec_algorithm
@@ -157,7 +159,7 @@ def __init__(self, args):
                 model_precision=args.precision,
                 batch_size=args.rec_batch_num,
                 data_shape="dynamic",
-                save_path=None,  # args.save_log_path,
+                save_path=None,  # not used if logger is not None
                 inference_config=self.config,
                 pids=pid,
                 process_name=None,
@@ -701,14 +703,25 @@ def __call__(self, img_list):
 
 def main(args):
     image_file_list = get_image_file_list(args.image_dir)
-    text_recognizer = TextRecognizer(args)
     valid_image_file_list = []
     img_list = []
 
+    # logger
+    log_file = args.save_log_path
+    if os.path.is_dir(args.save_log_path) or (
+        not os.path.exists(args.save_log_path) and args.save_log_path.endswith("/")
+    ):
+        log_file = os.path.join(log_file, "benchmark_recognition.log")
+    logger = get_logger(log_file=log_file)
+
+    # create text recognizer
+    text_recognizer = TextRecognizer(args)
+
     logger.info(
         "In PP-OCRv3, rec_image_shape parameter defaults to '3, 48, 320', "
         "if you are using recognition model with PP-OCRv2 or an older version, please set --rec_image_shape='3,32,320"
     )
+
     # warmup 2 times
     if args.warmup:
         img = np.random.uniform(0, 255, [48, 320, 3]).astype(np.uint8)