AI Benchmark

Developer's DescriptionBy Ignatov AndreyFace Recognition, Image Classification, Image Enhancement...Face Recognition, Image Classification, Image Enhancement...Is your smartphone capable of running the latest Deep Neural Networks to perform these AI-based tasks? Does it have a dedicated AI Chip? Is it fast enough? Run AI Benchmark to comprehensively evaluate it's AI Performance!Current phone ranking: http://ai-benchmark.com/ranking.htmlAI Benchmark measures the speed, accuracy and memory requirements for several key AI and Computer Vision algorithms. Among the tested solutions are Image Classification and Face Recognition methods, Neural Networks used for Image Super-Resolution and Photo Enhancement, AI models playing Atari Games and performing Bokeh Simulation, as well as algorithms used in autonomous driving systems. Visualization of the algorithms output allows to assess their results graphically and to get to know the current state-of-the-art in various AI fields.In total, AI Benchmark consists of 21 tests and 11 sections provided below:Section 1. Classification, MobileNet-V2Section 2. Classification, Inception-V3Section 3. Face Recognition, Inception-ResNet-V1Section 4. Playing Atari Games, LSTMSection 5. Deblurring, SRCNNSection 6. Super-Resolution, VGG19Section 7. Super-Resolution, SRGANSection 8. Bokeh Simulation, U-NetSection 9. Semantic Segmentation, ICNetSection 10. Image Enhancement, DPED ResNetSection 11. Memory limits, SRCNNA detailed description of the tests can be found here: http://ai-benchmark.com/tests.htmlNote: Hardware acceleration is supported on Android 9.0 and above on all mobile SoCs with AI accelerators, including Qualcomm Snapdragon, HiSilicon Kirin, Samsung Exynos and MediaTek Helio.