Is your smartphone capable of running the latest Deep Neural Networks to perform these AI-based tasks? Is it fast enough? Run AI Benchmark to test several key AI tasks on your phone and professionally evaluate its performance!

Jun 28, 2019 · AI Benchmark Alpha is an open source python library for evaluating AI performance of various hardware platforms, including CPUs, GPUs and TPUs. The benchmark is relying on TensorFlow machine learning library, and is providing a precise and lightweight solution for assessing inference and training speed for key Deep Learning models.

Phones | Mobile SoCs | IoT | Efficiency Deep Learning Hardware Ranking Desktop GPUs and CPUs View Detailed Results

AI Benchmark V6 is designed for the next-generation AI accelerators, and is introducing many new tests and workloads including the recent vision transformer (ViT) architectures, large language models (LLMs), and even the Stable Diffusion network running directly on your device.

2 - These are the results of an early prototype. The results of the commercial SoC might be different

Phones | Mobile SoCs | IoT | Efficiency Performance Ranking Desktop GPUs and CPUs View Detailed Results Chart

The benchmark consists of 78 AI and Computer Vision tests performed by neural networks running on your smartphone. It measures over 180 different aspects of AI performance, including the speed, accuracy, initialization time, etc. Considered neural networks comprise a comprehensive range of architectures allowing to assess the performance and ...

Is AI Benchmark supporting AI Chips available on some recently introduced phones? Our latest release is supporting phones' AI Accelerators on Android 8.1 and above via NNAPI.

The latest AI Benchmark version is introducing the largest update since its first release. With new functionality, tests and measurements, it becomes an ultimate and unique solution for assessing real AI performance of mobile devices extensively and reliably.

AI Benchmark for Windows, Linux and macOS: Let the AI Games Begin...