docs/benchmarks/2026-07-15-e2e-render-structural-webgpu-fp32-chrome.json

{
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  "source": {
    "repository": "https://github.com/VAST-AI-Research/TripoSplat",
    "commit": "a78fa12d06dbf1381ca548bfac32bb68cb8c451d",
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    "graphs": ["dino", "vae", "dit", "octree", "gaussianDecoder"]
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  "environment": {
    "hardware": "Apple M3 Max",
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    "operating_system": "macOS 26.3 (25D125)",
    "browser": "Chrome 150.0.0.0",
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  "viewer": {
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    "message": "Preview ready. Drag to orbit, scroll to zoom.",
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    "The reusable-conditioning transfer counts are deterministic payload accounting. This run is not a controlled timing comparison with the previous implementation, and ONNX Runtime may still upload retained CPU tensors to WebGPU for each invocation.",
    "The browser reported only post-disposal origin-storage usage. No peak JavaScript, worker, WebGPU, driver, or unified-memory figure is claimed."
  ]
}