Face Recognition, Bid Classification, Bid Enhancement…
Is your smartphone correct of operating essentially the latest Deep Neural Networks to originate these AI-primarily based initiatives? Does it private a devoted AI Chip? Is it immediate adequate? Hurry AI Benchmark to comprehensively place in solutions it's AI Efficiency!
Present mobile telephone ranking: http://ai-benchmark.com/ranking.html
AI Benchmark measures the trip, accuracy and memory requirements for a number of key AI and Pc Imaginative and prescient algorithms. Amongst the tested solutions are Bid Classification and Face Recognition methods, Neural Networks feeble for Bid Wide-Determination and Photo Enhancement, AI items taking half in Atari Games and performing Bokeh Simulation, as well to algorithms feeble in self adequate using programs. Visualization of the algorithms’ output permits to assess their outcomes graphically and to secure to take hold of essentially the latest cutting-edge work in completely different AI fields.
In whole, AI Benchmark consists of 21 tests and eleven sections offered under:
Share 1. Classification, MobileNet-V2
Share 2. Classification, Inception-V3
Share three. Face Recognition, Inception-ResNet-V1
Share 4. Taking half in Atari Games, LSTM
Share 5. Deblurring, SRCNN
Share 6. Wide-Determination, VGG19
Share 7. Wide-Determination, SRGAN
Share eight. Bokeh Simulation, U-Gain
Share 9. Semantic Segmentation, ICNet
Share 10. Bid Enhancement, DPED ResNet
Share eleven. Memory limits, SRCNN
A detailed description of the tests would possibly perchance perchance maybe also additionally be stumbled on here: http://ai-benchmark.com/tests.html
Present: Hardware acceleration is supported on Android 9.zero and above on all cell SoCs with AI accelerators, at the side of Qualcomm Snapdragon, HiSilicon Kirin, Samsung Exynos and MediaTek Helio.
1) PRO Mode: New alternate choices for builders
2) Updated ranking desk
three) Trojan horse fixes