feat: add multimodal search and granular performance diagnostics
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# Pinned Google media reference fixtures
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The `digup-photo.jpg`, `digup-screen.png`, `digup-speech.wav`, and
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`digup-media-reference.json` files are copied unchanged from
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`ARahim3/DigUp`, commit `6faa29e4c315a3a591de1b41bd78751bdf39588d`,
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`Tests/LlamaRuntimeTests/Reference/`. They and the existing text reference
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fixture are retained under the adjacent `LICENSE-DigUp.txt` MIT notice.
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The source test uses image budgets 280 (screen), 140 (photo), 70 (frame),
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and a mono 16 kHz speech recording. The native CPU test compares actual
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768-dimensional Google vectors with the pinned llama.cpp b11461 reference
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at cosine >=0.999. This is runtime parity evidence, not a production media
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relevance corpus. Independent images, audio, and video require separate
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quality evaluation.
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