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|APK File Name||AI Benchmark Apk|
What’s unique about the AI Benchmark App?
Face Recognition, Image Classification, Question Answering…
Is your cell phone equipped for running the furthest down the line Deep Neural Networks to play out these and numerous other AI-based undertakings? Does it have a devoted AI Chip? Is it quickly enough? Run AI Benchmark to assess its AI Performance expertly!
Current telephone positioning: http://man-made intelligence benchmark.com/positioning
Man-made intelligence Benchmark estimates the speed, precision, power utilization and memory necessities for a few critical AI and Computer Vision calculations. Among the tried arrangements are Image Classification and Face Recognition strategies, Neural Networks utilized for Image/Video Super-Resolution and Photo Enhancement, AI models foreseeing message and performing question addressing, as well as AI arrangements utilized in independent driving frameworks and cell phones for constant Depth Estimation and Semantic Image Segmentation. The perception of the calculations’ results permits to survey their outcomes graphically and to get to know the present status of-the-craftsmanship in different AI fields.
Altogether, AI Benchmark comprises of 78 tests and 26 segments recorded beneath:
Segment 1. Characterization, MobileNet-V2
Segment 2. Characterization, Inception-V3
Segment 3. Face Recognition, MobileNet-V3
Segment 4. Characterization, EfficientNet-B4
Segments 5/6. Equal Model Execution, 8 x Inception-V3
Segment 7. Object Tracking, YOLO-V4
Segment 8. Optical Character Recognition, CRNN
Segment 9. Semantic Segmentation, DeepLabV3+
Segment 10. Equal Segmentation, 2 x DeepLabV3+
Segment 11. Photograph Deblurring, IMDN
Segment 12. Picture Super-Resolution, ESRGAN
Segment 13. Picture Super-Resolution, SRGAN
Segment 14. Picture Denoising, U-Net
Segment 15. Profundity Estimation, MV3-Depth
Segment 16. Picture Enhancement, DPED ResNet
Segment 17. Picture Enhancement, DPED Instance
Segment 18. Bokeh Effect Rendering, PyNET+
Segment 19. Learned Camera ISP, PUNET
Segment 20. FullHD Video Super-Resolution, XLSR
Segment 21/22. 4K Video Super-Resolution, VideoSR
Segment 23. Text Completion, LSTM
Segment 24. Question Answering, MobileBERT
Segment 25. Text Completion, ALBERT
Segment 26. Memory Limits, ResNet
Other than that, one can load and test their own TensorFlow Lite profound learning models in the PRO Mode.
A nitty gritty depiction of the tests can be seen as here: http://simulated intelligence benchmark.com/tests.html
Note: Hardware speed increase is upheld on all portable SoCs with devoted NPUs and AI gas pedals, including Qualcomm Snapdragon, HiSilicon Kirin, Samsung Exynos , MediaTek Helio/Dimensity and UNISOC Tiger chipsets. Beginning from AI Benchmark v4, one can likewise empower GPU-put together AI speed increase with respect to more established gadgets in the settings (“Accelerate” – > “Empower GPU Acceleration”, OpenGL ES-3.0+ is required).
How to install AI Benchmark App.
You can also download AI Benchmark App from the play store. But from the link given in our side, you can download how to install below.
- First Download AI Benchmark App.
- APK File and save it in Phone Memory or SD Card.
- Installing APK/Game.
- Don’t forget to Allow Unknown App Permission.
- Open AI Benchmark .apk.
- Enjoy AI Benchmark App.