evaluate the performance of your AI models

AI Benchmark is one of the most authoritative platforms for testing the computational capacity and efficiency of AI models. In this guide, we will see what AI Benchmark is, how it works, and what information it provides.

Why is AI Benchmark important?

Artificial intelligence is becoming increasingly pervasive in mobile devices and advanced computing systems. Measuring its performance with reliable metrics is essential for comparing the hardware and software solutions available on the market.

AI Benchmark is a tool essential for evaluating AI performance on mobile devices and dedicated hardware. It allows you to:

• Compare mobile processors: Test CPU, GPU, NPU, and other AI accelerators integrated into the devices.
• Analyze the performance of AI models: Evaluate the inference time and accuracy of deep learning models.
• Monitor technological progress: Identify improvements in AI chips across various generations.
• Helping developers: Provides useful data to optimize AI models for devices with limited resources.

How does AI Benchmark work?

Evaluation methods

The platform offers two main methods of evaluation:

1. App Android AI Benchmark: An application downloadable from the Google Play Store that performs tests on smartphones and tablets.
2. AI Benchmark Leaderboard: An updated ranking that shows the performance of the tested devices.

Tests and Metrics Used

AI Benchmark performs various tests based on deep learning models, including:

• Image classification with MobileNet and InceptionV3.
• Semantic segmentation with DeepLab.
• Super resolution with ESRGAN.
• Facial recognition and object detection.

The main evaluation metrics include:

• Inference (execution time): How long the model takes to process an image or a dataset.
• Energy efficiency: How much energy the device consumes during AI processing.
• Performance in TFLOPS (Tera Floating Point Operations per Second): Indicates the computing power of the AI platform.

AI Benchmark Ranking

On the official site, an updated leaderboard is available that ranks the devices based on their AI performance. The most powerful processors are found at the top positions thanks to increasingly advanced NPUs (Neural Processing Units).

Examples of processors analyzed:

• Qualcomm Snapdragon (888, 8 Gen 1, 8 Gen 2, etc.)
• Apple A-series (A15 Bionic, A16, etc.)
• Samsung Exynos (2100, 2200, etc.)
• MediaTek Dimensity (1200, 9000, etc.)

Case study: AI Benchmark on Smartphone

A practical example of AI Benchmark is the comparison between the Google Pixel 8 Pro and the iPhone 15 Pro.

• Google Pixel 8 Pro uses the Google Tensor G3, optimized for AI and Machine Learning, with strong energy efficiency in AI tasks.
• iPhone 15 Pro, with its A17 Pro, offers superior computing power for generative AI and computer vision.

From the tests of AI Benchmark, the Tensor G3 excels in energy efficiency, while the A17 Pro dominates in inference speed.

Why AI Benchmark is useful for the AI sector?

AI Benchmark is not just a performance test, but a strategic tool for:

• AI Developers: Helps choose the best platform to run AI models on mobile.
• Hardware companies: Provides comparative data on AI chips of various generations.
• Tech consumers: Allows evaluating the actual AI power of the devices before purchasing them.

Conclusion

AI Benchmark is an essential resource for anyone who wants to analyze the performance of artificial intelligence in mobile devices. Thanks to its in-depth tests and updated ranking, it offers a clear overview of the hardware and software capabilities of the various AI chips.

If you are a technology enthusiast or an AI professional, AI Benchmark can help you make informed decisions about which platforms to use. Take a look at the leaderboard and find out which devices dominate the world of artificial intelligence!