AI Benchmark

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.html

AI 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-V2

Section 2. Classification, Inception-V3

Section 3. Face Recognition, Inception-ResNet-V1

Section 4. Playing Atari Games, LSTM

Section 5. Deblurring, SRCNN

Section 6. Super-Resolution, VGG19

Section 7. Super-Resolution, SRGAN

Section 8. Bokeh Simulation, U-Net

Section 9. Semantic Segmentation, ICNet

Section 10. Image Enhancement, DPED ResNet

Section 11. Memory limits, SRCNN

A detailed description of the tests can be found here: http://ai-benchmark.com/tests.html

Note: 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.

人脸识别，图像分类，图像增强......

您的智能手机是否能够运行最新的深度神经网络来执行这些基于AI的任务？它有专用的AI芯片吗？它足够快吗？运行AI Benchmark以全面评估其AI性能！

当前手机排名： http： //ai-benchmark.com/ranking.html

AI Benchmark测量几种关键AI和计算机视觉算法的速度，准确度和内存要求。测试解决方案包括图像分类和人脸识别方法，用于图像超分辨率和照片增强的神经网络，玩Atari Games的AI模型和执行散景模拟，以及用于自动驾驶系统的算法。算法输出的可视化允许以图形方式评估其结果，并了解各种AI领域的当前最新技术。

AI Benchmark总共包含21个测试和11个部分，如下所示：

第1节。分类，MobileNet-V2

第2节。分类，初始-V3

第3节。面部识别，初始 - ResNet-V1

第4节。玩Atari Games，LSTM

第5节：Deblurring，SRCNN

第6节。超级分辨率，VGG19

第7节。超级决议，SRGAN

第8节。散景模拟，U-Net

第9节语义分段，ICNet

第10节。图像增强，DPED ResNet

第11节。内存限制，SRCNN

有关测试的详细说明，请访问此处： http://ai-benchmark.com/tests.html

注意：Android 9.0及更高版本的所有支持AI加速器的移动SoC都支持硬件加速，包括Qualcomm Snapdragon，HiSilicon Kirin，Samsung Exynos和MediaTek Helio。