Note: Hardware acceleration is supported on all mobile SoCs with dedicated NPUs and AI accelerators, including Qualcomm Snapdragon, HiSilicon Kirin, Samsung Exynos and MediaTek Helio / Dimensity chipsets. Image Enhancement, DPED ResNetīesides that, one can load and test their own TensorFlow Lite deep learning model in the PRO Mode.Ī detailed description of the tests can be found here: Parallel Model Execution, 8 x MobileNet-V2 In total, AI Benchmark consists of 46 tests and 14 sections provided below:
The visualization of the algorithms’ outputs allows to assess their results graphically and to get to know the current state-of-the-art in various AI fields. Moreover, the phone benchmark tool features CPU tests, Disk Tests, Memory Tests, 2D Graphic Tests, and 3D.
#All benchmark ai smartphone android
You can currently benchmark Windows, Linux, macOS, and obviously Android using the PassMark application. Among the tested solutions are Image Classification and Face Recognition methods, Neural Networks used for Image Super-Resolution and Photo Enhancement, AI models predicting text and performing Bokeh Effect Rendering, as well as algorithms used in autonomous driving systems. PassMark is a lightweight and easy-to-use benchmarking application with all sorts of performance tests under a single roof. 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 professionally evaluate its AI Performance!ĪI Benchmark measures the speed, accuracy and memory requirements for several key AI and Computer Vision algorithms. Face Recognition, Image Classification, Text Completion.
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