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1. TFLite XNNPACK delegate is now enabled by default for CPU inference.
2. Updated Qualcomm Hexagon NN and Samsung Eden NN libraries.
3. GPU acceleration is now available for quantized neural networks.
4. Various enhancements and performance improvements.

Face Recognition, Image Classification, Text Completion...

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!

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 predicting text and performing Bokeh Effect Rendering, as well as algorithms used in autonomous driving systems. 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.

In total, AI Benchmark consists of 46 tests and 14 sections provided below:

Section 1. Classification, MobileNet-V2
Section 2. Classification, Inception-V3
Section 3. Face Recognition, MobileNet-V3
Section 4. Parallel Model Execution, 8 x MobileNet-V2
Section 5. Optical Character Recognition, CRNN
Section 6. Photo Deblurring, PyNET
Section 7. Image Super-Resolution, VGG19
Section 8. Image Super-Resolution, SRGAN
Section 9. Bokeh Effect Rendering, U-Net
Section 10. Semantic Segmentation, DeepLabV3+
Section 11. Parallel Segmentation, 2 x DeepLabV3+
Section 12. Image Enhancement, DPED ResNet
Section 13. Text Completion, LSTM
Section 14. Memory Limits, SRCNN

Besides that, one can load and test their own TensorFlow Lite deep learning model in the PRO Mode.

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

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. Starting from AI Benchmark v4, one can also enable GPU-based AI acceleration on older devices in the settings ("Accelerate" -> "Enable GPU Acceleration", OpenGL ES-3.0+ is required).

Download

This release comes in several variants (we currently have 2). Consult our handy FAQ to see which download is right for you.

Variant
Arch
Version
DPI
28 BUNDLEAPK bundle with base APK and 21 splits 21 S21 splits
October 23, 2020
universal
Android 5.0+
160-640dpi
28 APK
October 23, 2020
universal
Android 5.0+
nodpi
All Releases
October 23, 2020
October 1, 2020
May 28, 2020
May 24, 2020
May 21, 2019
March 27, 2019
January 8, 2019
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