--- library_name: pytorch license: other tags: - real_time - android pipeline_tag: object-detection --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/yolov7/web-assets/model_demo.png) # Yolo-v7: Optimized for Mobile Deployment ## Real-time object detection optimized for mobile and edge YoloV7 is a machine learning model that predicts bounding boxes and classes of objects in an image. This model is an implementation of Yolo-v7 found [here](https://github.com/WongKinYiu/yolov7/). More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/yolov7). ### Model Details - **Model Type:** Model_use_case.object_detection - **Model Stats:** - Model checkpoint: YoloV7 Tiny - Input resolution: 640x640 - Number of parameters: 6.39M - Model size (float): 24.4 MB - Model size (w8a8): 6.23 MB | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model |---|---|---|---|---|---|---|---|---| | Yolo-v7 | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 34.894 ms | 1 - 24 MB | NPU | -- | | Yolo-v7 | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 23.761 ms | 3 - 13 MB | NPU | -- | | Yolo-v7 | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 20.994 ms | 1 - 41 MB | NPU | -- | | Yolo-v7 | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 12.754 ms | 5 - 41 MB | NPU | -- | | Yolo-v7 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 17.584 ms | 1 - 11 MB | NPU | -- | | Yolo-v7 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 9.153 ms | 5 - 7 MB | NPU | -- | | Yolo-v7 | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 18.779 ms | 1 - 25 MB | NPU | -- | | Yolo-v7 | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 11.054 ms | 2 - 16 MB | NPU | -- | | Yolo-v7 | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 34.894 ms | 1 - 24 MB | NPU | -- | | Yolo-v7 | float | SA7255P ADP | Qualcomm® SA7255P | QNN | 23.761 ms | 3 - 13 MB | NPU | -- | | Yolo-v7 | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 17.464 ms | 2 - 16 MB | NPU | -- | | Yolo-v7 | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 9.31 ms | 5 - 7 MB | NPU | -- | | Yolo-v7 | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 22.321 ms | 0 - 29 MB | NPU | -- | | Yolo-v7 | float | SA8295P ADP | Qualcomm® SA8295P | QNN | 12.292 ms | 0 - 18 MB | NPU | -- | | Yolo-v7 | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 17.551 ms | 1 - 11 MB | NPU | -- | | Yolo-v7 | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 9.003 ms | 5 - 8 MB | NPU | -- | | Yolo-v7 | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 18.779 ms | 1 - 25 MB | NPU | -- | | Yolo-v7 | float | SA8775P ADP | Qualcomm® SA8775P | QNN | 11.054 ms | 2 - 16 MB | NPU | -- | | Yolo-v7 | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 17.611 ms | 1 - 12 MB | NPU | -- | | Yolo-v7 | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 9.018 ms | 5 - 20 MB | NPU | -- | | Yolo-v7 | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 10.507 ms | 2 - 47 MB | NPU | -- | | Yolo-v7 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 12.847 ms | 1 - 38 MB | NPU | -- | | Yolo-v7 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 6.465 ms | 5 - 60 MB | NPU | -- | | Yolo-v7 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 8.398 ms | 7 - 68 MB | NPU | -- | | Yolo-v7 | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 12.37 ms | 0 - 30 MB | NPU | -- | | Yolo-v7 | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 5.154 ms | 5 - 55 MB | NPU | -- | | Yolo-v7 | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 9.706 ms | 5 - 5 MB | NPU | -- | | Yolo-v7 | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 11.47 ms | 8 - 8 MB | NPU | -- | | Yolo-v7 | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 23.364 ms | 0 - 10 MB | NPU | -- | | Yolo-v7 | w8a16 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 13.748 ms | 2 - 53 MB | NPU | -- | | Yolo-v7 | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 12.642 ms | 2 - 4 MB | NPU | -- | | Yolo-v7 | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 13.269 ms | 2 - 16 MB | NPU | -- | | Yolo-v7 | w8a16 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN | 29.628 ms | 2 - 13 MB | NPU | -- | | Yolo-v7 | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN | 23.364 ms | 0 - 10 MB | NPU | -- | | Yolo-v7 | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 12.614 ms | 2 - 5 MB | NPU | -- | | Yolo-v7 | w8a16 | SA8295P ADP | Qualcomm® SA8295P | QNN | 11.806 ms | 2 - 7 MB | NPU | -- | | Yolo-v7 | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 12.693 ms | 2 - 5 MB | NPU | -- | | Yolo-v7 | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN | 13.269 ms | 2 - 16 MB | NPU | -- | | Yolo-v7 | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 12.678 ms | 2 - 15 MB | NPU | -- | | Yolo-v7 | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 6.342 ms | 0 - 31 MB | NPU | -- | | Yolo-v7 | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 8.518 ms | 2 - 50 MB | NPU | -- | | Yolo-v7 | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 4.554 ms | 2 - 69 MB | NPU | -- | | Yolo-v7 | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 6.695 ms | 2 - 43 MB | NPU | -- | | Yolo-v7 | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 4.397 ms | 5 - 67 MB | NPU | -- | | Yolo-v7 | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 13.369 ms | 2 - 2 MB | NPU | -- | | Yolo-v7 | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 7.453 ms | 5 - 5 MB | NPU | -- | | Yolo-v7 | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 5.323 ms | 0 - 21 MB | NPU | -- | | Yolo-v7 | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 5.536 ms | 1 - 11 MB | NPU | -- | | Yolo-v7 | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 3.128 ms | 0 - 37 MB | NPU | -- | | Yolo-v7 | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 4.232 ms | 1 - 39 MB | NPU | -- | | Yolo-v7 | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 2.526 ms | 0 - 29 MB | NPU | -- | | Yolo-v7 | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 2.753 ms | 1 - 4 MB | NPU | -- | | Yolo-v7 | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 2.924 ms | 0 - 24 MB | NPU | -- | | Yolo-v7 | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 3.242 ms | 1 - 16 MB | NPU | -- | | Yolo-v7 | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | TFLITE | 9.718 ms | 0 - 34 MB | NPU | -- | | Yolo-v7 | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN | 7.778 ms | 1 - 16 MB | NPU | -- | | Yolo-v7 | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 64.433 ms | 15 - 53 MB | GPU | -- | | Yolo-v7 | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 5.323 ms | 0 - 21 MB | NPU | -- | | Yolo-v7 | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN | 5.536 ms | 1 - 11 MB | NPU | -- | | Yolo-v7 | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 2.514 ms | 0 - 30 MB | NPU | -- | | Yolo-v7 | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 2.753 ms | 1 - 3 MB | NPU | -- | | Yolo-v7 | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 3.808 ms | 0 - 26 MB | NPU | -- | | Yolo-v7 | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN | 4.311 ms | 1 - 19 MB | NPU | -- | | Yolo-v7 | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 2.528 ms | 0 - 30 MB | NPU | -- | | Yolo-v7 | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 2.755 ms | 1 - 5 MB | NPU | -- | | Yolo-v7 | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 2.924 ms | 0 - 24 MB | NPU | -- | | Yolo-v7 | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN | 3.242 ms | 1 - 16 MB | NPU | -- | | Yolo-v7 | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 2.527 ms | 0 - 29 MB | NPU | -- | | Yolo-v7 | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 2.766 ms | 2 - 13 MB | NPU | -- | | Yolo-v7 | w8a8 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 4.164 ms | 0 - 29 MB | NPU | -- | | Yolo-v7 | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 1.698 ms | 0 - 37 MB | NPU | -- | | Yolo-v7 | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.766 ms | 1 - 38 MB | NPU | -- | | Yolo-v7 | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 2.742 ms | 0 - 69 MB | NPU | -- | | Yolo-v7 | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 1.643 ms | 0 - 28 MB | NPU | -- | | Yolo-v7 | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 1.922 ms | 1 - 30 MB | NPU | -- | | Yolo-v7 | w8a8 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 2.822 ms | 0 - 57 MB | NPU | -- | | Yolo-v7 | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 3.169 ms | 1 - 1 MB | NPU | -- | | Yolo-v7 | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 4.498 ms | 6 - 6 MB | NPU | -- | ## License * The license for the original implementation of Yolo-v7 can be found [here](https://github.com/WongKinYiu/yolov7/blob/main/LICENSE.md). * The license for the compiled assets for on-device deployment can be found [here](https://github.com/WongKinYiu/yolov7/blob/main/LICENSE.md) ## References * [YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors](https://arxiv.org/abs/2207.02696) * [Source Model Implementation](https://github.com/WongKinYiu/yolov7/) ## Community * Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI. * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com). ## Usage and Limitations Model may not be used for or in connection with any of the following applications: - Accessing essential private and public services and benefits; - Administration of justice and democratic processes; - Assessing or recognizing the emotional state of a person; - Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics; - Education and vocational training; - Employment and workers management; - Exploitation of the vulnerabilities of persons resulting in harmful behavior; - General purpose social scoring; - Law enforcement; - Management and operation of critical infrastructure; - Migration, asylum and border control management; - Predictive policing; - Real-time remote biometric identification in public spaces; - Recommender systems of social media platforms; - Scraping of facial images (from the internet or otherwise); and/or - Subliminal manipulation