Face Recognition, Image Classification, Image Enhancement…
Is your smartphone edifying of running the most up-to-date Deep Neural Networks to invent these AI-basically based initiatives? Does it hold a trusty AI Chip? Is it quickly ample? Bustle AI Benchmark to comprehensively judge it's AI Performance!
Present phone rating: http://ai-benchmark.com/rating.html
AI Benchmark measures the tempo, accuracy and memory requirements for a lot of key AI and Computer Imaginative and prescient algorithms. Amongst the tested alternate strategies are Image Classification and Face Recognition systems, Neural Networks ragged for Image Tidy-Resolution and Photograph Enhancement, AI devices taking half in Atari Video games and performing Bokeh Simulation, as smartly as algorithms ragged in independent driving systems. Visualization of the algorithms’ output permits to assess their results graphically and to get to understand the recent cutting-edge in a mode of AI fields.
In complete, AI Benchmark contains 21 assessments and 11 sections supplied below:
Part 1. Classification, MobileNet-V2
Part 2. Classification, Inception-V3
Part 3. Face Recognition, Inception-ResNet-V1
Part 4. Playing Atari Video games, LSTM
Part 5. Deblurring, SRCNN
Part 6. Tidy-Resolution, VGG19
Part 7. Tidy-Resolution, SRGAN
Part 8. Bokeh Simulation, U-Catch
Part 9. Semantic Segmentation, ICNet
Part 10. Image Enhancement, DPED ResNet
Part 11. Reminiscence limits, SRCNN
A detailed description of the assessments could maybe also even be stumbled on right here: http://ai-benchmark.com/assessments.html
Sign: Hardware acceleration is supported on Android 9.0 and above on all cellular SoCs with AI accelerators, including Qualcomm Snapdragon, HiSilicon Kirin, Samsung Exynos and MediaTek Helio.
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