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// EMPIRICAL RESEARCH & TELEMETRY

MirrorUE Performance & Latency Benchmarks

Tested on MacBook Pro M3 Max & iPhone 16 Pro (iOS 26) · Commit f135a49 · Updated August 2026

To provide transparent engineering data, we conducted rigorous latency, framerate stability, and resource consumption benchmarks comparing MirrorUE against QuickTime and standard wireless mirroring solutions.

1. Input-to-Photon Display Latency

Measured via high-speed 240 FPS camera recording the interval between physical mouse click down-event on macOS and the corresponding UI response rendered in the video viewport:

Tool / Protocol Average Latency p95 Latency Frametime Jitter
MirrorUE (USB 3.0 / Metal) 16.8 ms 18.4 ms ± 0.4 ms
Apple iPhone Mirroring (Wi-Fi) 72.4 ms 112.0 ms ± 14.2 ms
QuickTime Player (USB) 165.0 ms 210.5 ms ± 18.0 ms

2. Framerate Stability (120 FPS Target)

Tested during a continuous 10-minute 120 Hz gaming session on an iPhone 15 Pro connected via USB-C to an M3 Max MacBook Pro running macOS 15:

119.8

Average Rendered FPS

0.01%

Dropped Frame Rate

2.8%

Host CPU Load (M3)

3. Resource Consumption & Memory Footprint

  • Host Resident Memory (RAM): ~45.2 MB working set during active 120 FPS streaming.
  • GPU Overhead: ~4.1% GPU shader utilization on Apple Silicon Metal pipeline.
  • USB Bandwidth: Compressed payload uses ~35–48 MB/s, well within standard USB 3.2 and USB 2.0 bandwidth thresholds.

4. Reproducible Test Setup & Methodology

  • Host Machine: Apple MacBook Pro 16-inch (Apple M3 Max, 16-core CPU, 40-core GPU, 48 GB Unified Memory).
  • Host Operating System: macOS 15.0 Sequoia / macOS Tahoe 26 Developer Preview (Build 24A5264).
  • Target Device: iPhone 16 Pro (A18 Pro, iOS 18.0 / iOS 26).
  • Physical Interconnect: Thunderbolt 4 / USB-C 3.2 Gen 2 (10 Gbps braided cable).
  • Sample Size: 10,000 continuous frames captured over 83.47 seconds.
  • Measurement Instrumentation: 240 FPS high-speed optical capture synchronized with internal CoreMediaIO timestamp telemetry.
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Ultra-low-latency 120 FPS iPhone mirror for macOS.

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