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 — 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 — 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.
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This topic spans 17 focused tables and 164 indexed concepts, 125 flashcards. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.
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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 — and what the 23-million-pixel micro-OLED system actually means for pixel density — gives a practitioner accurate expectations before they touch the device.
| Feature | Example | Description | |
|---|---|---|---|
10-core CPU, 10-core GPU, 16-core Neural Engine | • Built on 3 nm process • runs visionOS, apps, rendering, and on-device AI • replaces M2 in October 2025 update | ||
12 ms photon-to-photon latency, 256 GB/s bandwidth | • Dedicated chip processes 12 cameras, 5 sensors, 6 mics • keeps passthrough display in real-time sync to prevent motion sickness | ||
23 million pixels, 7.5 µm pixel pitch, 92% DCI-P3 | • Two postage-stamp-sized displays • combined ~46M pixels • supports 90 Hz, 96 Hz, 100 Hz, and 120 Hz refresh rates | ||
2 high-res cameras, 6 world-facing cameras, 4 eye-tracking cameras, LiDAR, TrueDepth | • 12 cameras + 5 sensors total • feeds R1 for passthrough and feeds ARKit for scene understanding | ||
Iris scan at startup, used for App Store purchases | • Iris-based biometric auth stored in Secure Enclave • more secure than Face ID in occluded conditions | ||
6-mic array + personalized spatial audio + audio ray tracing | • Audio adapts dynamically to head movement and room geometry • connects to AirPods Pro 2/3 via ultra-low-latency H2-to-H2 | ||
3D-knitted dual-rib upper/lower straps, tungsten counterweight inserts, Fit Dial | • Replaces Solo Knit Band and Dual Loop Band • comes standard with M5 model • also sold separately ($99) and backward-compatible | ||
353 g separate battery, USB-C tethered | • Up to 2.5 h general use, 3 h video • can extend indefinitely when connected to power • wired design chosen to reduce head weight | ||
153 GB/s memory bandwidth (M5) | • Shared across CPU/GPU/Neural Engine • sufficient for current visionOS workloads • same amount as original M2 model | ||
51–75 mm hardware adjustment range | • Physical lens adjustment required at setup • outside this range requires ZEISS optical inserts | ||
Readers $99; Prescription $149 | • Required for glasses wearers • magnetic attachment • prescription inserts need valid Rx | ||
256 GB, 512 GB, 1 TB | • Starting price $3,499 • no expandable storage • spatial video takes ~300 MB/min | ||
802.11ax, no cellular | • No LTE/5G • requires Wi-Fi for most features • Bluetooth connects keyboards, trackpads, game controllers | ||
Up to 2× faster third-party AI vs M2; 50% faster system AI | Enables faster Persona capture, on-device spatial scene generation, Foundation Models framework integration |