Smartglasses Camera Testing: Building Meaningful Benchmarks for Emerging Imaging Devices

As smartglasses evolve from AI-powered assistants into always-on capture devices, imaging is becoming one of the key technologies that will determine their success. While early generations focused primarily on voice interaction and AI, today’s devices increasingly enable users to capture and instantly share first-person photos and videos, making camera performance a critical differentiator. The imaging industry faces a new challenge: How do you objectively evaluate camera performance across an entirely new form factor?

As this new product category emerges, no standardized methodology currently exists to objectively compare the imaging performance of smartglasses. To address this gap, DXOMARK developed its first dedicated benchmark for smartglasses cameras, benchmarking seven models currently available:

A key aspect of the evaluation was establishing a meaningful performance reference. For this benchmark, we selected the Apple iPhone 13 front camera because its hardware specifications closely match those of the camera systems commonly integrated into today’s smartglasses. Using a reference device with comparable hardware characteristics enables a fair and data-driven comparison between smartglasses cameras and a mature smartphone imaging system.

While the iPhone 13 was introduced nearly five years ago, it remains a relevant benchmark due to its comparable camera hardware. At the same time, this comparison highlights the rapid evolution of smartphone imaging over recent years: a substantial gap still exists compared with today’s flagship smartphones, which benefit from significantly larger sensors, more advanced optics and tuning, and increasingly sophisticated computational photography.

Inspired by DXOMARK’s established methodology, the benchmark combines objective laboratory measurements with perceptual analyses of images and videos captured in real-world scenarios. This comprehensive approach allows us to evaluate not only quantifiable image quality metrics, but also the overall visual experience delivered to end users.

The evaluation encompasses a broad range of photo and video use cases, covering representative everyday scenarios under various lighting conditions, including outdoor daylight, indoor environments, low light, and high-contrast scenes.

In our labs, the assessment was conducted using DXOMARK’s controlled all-in-one portrait laboratory setup, designed to generate accurate and repeatable image quality measurements.

Using the same test environment across all devices ensures direct comparability of results and minimizes variability caused by testing conditions. We completed our lab measurements with real life scenes, including a wide range of typical usages .