diff --git a/docs/source/using_doctr/using_models.rst b/docs/source/using_doctr/using_models.rst
index d2c44fd3fa..208a973a06 100644
--- a/docs/source/using_doctr/using_models.rst
+++ b/docs/source/using_doctr/using_models.rst
@@ -143,7 +143,7 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | Tensorflow     | master                          | (32, 128, 3)    | 58.8 M       | 87.44      | 88.21         | 93.83      | 94.25         | 22.3               |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
-| TensorFlow     | sar_resnet31                    | (32, 128, 3)    | 57.2 M       |            |               |            |               | 7.1                |
+| TensorFlow     | sar_resnet31                    | (32, 128, 3)    | 57.2 M       | 87.67      | 88.48         | 94.21      | 94.66         | 7.1                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | Tensorflow     | vitstr_small                    | (32, 128, 3)    | 21.4 M       | 83.01      | 83.84         | 86.57      | 87.00         | 2.0                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
@@ -153,9 +153,9 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | PyTorch        | crnn_vgg16_bn                   | (32, 128, 3)    | 15.8 M       | 86.54      | 87.41         | 94.29      | 94.69         | 0.6                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
-| PyTorch        | crnn_mobilenet_v3_small         | (32, 128, 3)    | 4.5 M        | 87.25      | 87.99         | 93.91      | 94.34         | 0.05               |
+| PyTorch        | crnn_mobilenet_v3_small         | (32, 128, 3)    | 2.1 M        | 87.25      | 87.99         | 93.91      | 94.34         | 0.05               |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
-| PyTorch        | crnn_mobilenet_v3_large         | (32, 128, 3)    | 2.1 M        | 87.38      | 88.09         | 94.46      | 94.92         | 0.08               |
+| PyTorch        | crnn_mobilenet_v3_large         | (32, 128, 3)    | 4.5 M        | 87.38      | 88.09         | 94.46      | 94.92         | 0.08               |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | PyTorch        | master                          | (32, 128, 3)    | 58.7 M       |            |               |            |               | 17.6               |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
@@ -218,10 +218,36 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | TensorFlow     | db_resnet50 + crnn_vgg16_bn                              | 70.82      | 75.56         | 83.97      | 81.40         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| TensorFlow     | db_resnet50 + crnn_mobilenet_v3_small                    | 69.63      | 74.29         | 81.08      | 78.59         |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| TensorFlow     | db_resnet50 + crnn_mobilenet_v3_large                    |            |               |            |               |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| TensorFlow     | db_resnet50 + sar_resnet31                               | 69.42      | 74.04         | 80.67      | 78.21         |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| TensorFlow     | db_resnet50 + master                                     | 68.75      | 73.76         | 78.56      | 76.24         |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | TensorFlow     | db_resnet50 + vitstr_small                               | 64.58      | 68.91         | 74.66      | 72.37         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| TensorFlow     | db_resnet50 + vitstr_base                                |            |               |            |               |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| TensorFlow     | db_resnet50 + parseq                                     |            |               |            |               |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | PyTorch        | db_resnet50 + crnn_vgg16_bn                              | 67.82      | 73.35         | 84.84      | 83.27         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| PyTorch        | db_resnet50 + crnn_mobilenet_v3_small                    | 67.89      | 74.01         | 84.43      | 82.85         |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| PyTorch        | db_resnet50 + crnn_mobilenet_v3_large                    | 68.45      | 74.63         | 84.86      | 83.27         |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| PyTorch        | db_resnet50 + sar_resnet31                               |            |               |            |               |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| PyTorch        | db_resnet50 + master                                     |            |               |            |               |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| PyTorch        | db_resnet50 + vitstr_small                               |            |               |            |               |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| PyTorch        | db_resnet50 + vitstr_base                                |            |               |            |               |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
+| PyTorch        | db_resnet50 + parseq                                     |            |               |            |               |
++----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | None           | Gvision text detection                                   | 59.50      | 62.50         | 75.30      | 59.03         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | None           | Gvision doc. text detection                              | 64.00      | 53.30         | 68.90      | 61.10         |
diff --git a/scripts/evaluate.py b/scripts/evaluate.py
index f4e8aaefea..20da633bdf 100644
--- a/scripts/evaluate.py
+++ b/scripts/evaluate.py
@@ -40,6 +40,7 @@ def main(args):
         args.recognition,
         pretrained=True,
         reco_bs=args.batch_size,
+        preserve_aspect_ratio=False,
         assume_straight_pages=not args.rotation,
     )
 
diff --git a/scripts/evaluate_kie.py b/scripts/evaluate_kie.py
index 1aaf3f9ae8..3d16197d98 100644
--- a/scripts/evaluate_kie.py
+++ b/scripts/evaluate_kie.py
@@ -42,6 +42,7 @@ def main(args):
         args.recognition,
         pretrained=True,
         reco_bs=args.batch_size,
+        preserve_aspect_ratio=False,
         assume_straight_pages=not args.rotation,
     )