The PICO 4 Ultra is a standalone VR/MR headset designed for immersive virtual reality, mixed reality, gaming, enterprise applications, education, and spatial computing.
Specification
PICO 4 Ultra
Processor
Qualcomm Snapdragon XR2 Gen 2
RAM
12 GB LPDDR5
Storage
256 GB UFS 3.1
Display
2 × 2.56-inch screens
Resolution
2160 × 2160 pixels per eye
Pixel density
1200 PPI
Rendering resolution
1920 × 1920 per eye
Refresh rate
Up to 90 Hz
Lens
Pancake
Field of view
105°
PPD
20.6 average / 22.5 central
IPD adjustment
58–72 mm, continuous
Color passthrough
2 × 32 MP cameras
Depth sensing
1 × iToF depth camera
Tracking cameras
4 × environment-tracking cameras
Tracking
6DoF inside-out tracking
Wi-Fi
Wi-Fi 7
Bluetooth
Bluetooth 5.3
Audio
Dual stereo speakers
Microphones
4 microphones
Spatial audio
Supported, including spatial audio recording
Battery
5,700 mAh rated / 5,770 mAh typical
Charging
USB-C, QC 4.0 / PD 3.0, 45 W fast charging
Controllers
2 × 6DoF controllers
Controller batteries
2 × AA per controller
Glasses support
Glasses spacer included
PICO’s official specifications confirm the 12 GB RAM + 256 GB storage, Snapdragon XR2 Gen 2, Wi-Fi 7, dual 32 MP passthrough cameras, iToF depth sensing and 2160 × 2160-per-eye displays.
Key strengths
Mixed Reality: The dual 32 MP cameras and iToF depth sensor provide substantially more capable color passthrough and environmental understanding than a basic VR-only headset.
High-resolution display: With 4320 × 2160 total display resolution and pancake optics, it is well suited to applications where visual clarity matters, including education and professional visualization.
Performance: Snapdragon XR2 Gen 2 with 12 GB RAM gives it a strong standalone XR platform for demanding applications.
Wireless connectivity: Wi-Fi 7 and Bluetooth 5.3 make it particularly interesting for wireless PC streaming and networked XR applications.
For education/XR labs: The combination of high-resolution displays, 6DoF tracking, color passthrough, depth sensing and 12 GB RAM makes the PICO 4 Ultra particularly suitable for medical education, anatomy visualization, virtual laboratories, simulation and collaborative XR.
Details
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