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Apple Vision Pro and Spatial Computing Cheat Sheet

Apple Vision Pro and Spatial Computing Cheat Sheet

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Updated 2026-05-21
Next Topic: AR VR Development Cheat Sheet

Apple Vision Pro is Apple's mixed-reality spatial computer running visionOS, a platform derived from iPadOS and purpose-built for immersive experiences. It blends digital content with the physical world through dual micro-OLED displays, precision eye and hand tracking, and a dual-chip design (M5 + R1). The device matters because it represents the most advanced standalone XR headset available today β€” setting the interface, audio, and display benchmark the entire industry chases. The most important mental model: Vision Pro is fundamentally a spatial computer, not a VR headset β€” it is designed primarily for mixed-reality passthrough use with full immersion as an opt-in state, which determines how every feature from app layout to battery strategy should be approached.

What This Cheat Sheet Covers

This topic spans 17 focused tables and 164 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Hardware and Technical SpecificationsTable 2: visionOS Architecture and the Spatial Computing ModelTable 3: Eye and Hand Tracking Interaction ModelTable 4: Immersion Styles and EnvironmentsTable 5: Persona and Spatial FaceTimeTable 6: Mac Virtual Display and Productivity IntegrationTable 7: visionOS 26 Key New FeaturesTable 8: Spatial Media β€” Capture, Playback, and FormatsTable 9: Accessibility FeaturesTable 10: Developer Tools and visionOS SDKTable 11: Third-Party Apps and GamingTable 12: Apple Vision Pro vs Meta Quest 3 / 3STable 13: Apple Vision Pro vs Apple Glasses / Future RoadmapTable 14: Practical Use Cases β€” When Vision Pro ExcelsTable 15: Battery, Comfort, and Optimization TipsTable 16: Common Pitfalls and LimitationsTable 17: Cost vs Value β€” Evaluation Framework

Table 1: Hardware and Technical Specifications

The foundation of everything Vision Pro does is its dual-chip architecture and sensor array. Understanding what each chip handles β€” and what the 23-million-pixel micro-OLED system actually means for pixel density β€” gives a practitioner accurate expectations before they touch the device.

FeatureExampleDescription
M5 chip (2025 model)
10-core CPU, 10-core GPU, 16-core Neural Engine
β€’ Built on 3 nm process
β€’ runs visionOS, apps, rendering, and on-device AI
β€’ replaces M2 in October 2025 update
R1 co-processor
12 ms photon-to-photon latency, 256 GB/s bandwidth
β€’ Dedicated chip processes 12 cameras, 5 sensors, 6 mics
β€’ keeps passthrough display in real-time sync to prevent motion sickness
Micro-OLED display system
23 million pixels, 7.5 Β΅m pixel pitch, 92% DCI-P3
β€’ Two postage-stamp-sized displays
β€’ combined ~46M pixels
β€’ supports 90 Hz, 96 Hz, 100 Hz, and 120 Hz refresh rates
Sensor array
2 high-res cameras, 6 world-facing cameras, 4 eye-tracking cameras, LiDAR, TrueDepth
β€’ 12 cameras + 5 sensors total
β€’ feeds R1 for passthrough and feeds ARKit for scene understanding
Optic ID
Iris scan at startup, used for App Store purchases
β€’ Iris-based biometric auth stored in Secure Enclave
β€’ more secure than Face ID in occluded conditions
Spatial Audio system
6-mic array + personalized spatial audio + audio ray tracing
β€’ Audio adapts dynamically to head movement and room geometry
β€’ connects to AirPods Pro 2/3 via ultra-low-latency H2-to-H2
Dual Knit Band (2025)
3D-knitted dual-rib upper/lower straps, tungsten counterweight inserts, Fit Dial
β€’ Replaces Solo Knit Band and Dual Loop Band
β€’ comes standard with M5 model
β€’ also sold separately ($99) and backward-compatible

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