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Copy file name to clipboardExpand all lines: articles/ai-services/content-safety/how-to/embedded-content-safety.md
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@@ -16,7 +16,7 @@ Embedded content safety is designed for on-device scenarios where cloud connecti
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> [!IMPORTANT]
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> Microsoft limits access to embedded content safety. You can apply for access through the Azure AI content safety [embedded content safety limited access review](https://aka.ms/aacs-embedded-application). For more information, see [Limited access for embedded content safety]().
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**to-do**: update the link of an article to limited access for embedded content safety. Embedded speech's reference is [here](/legal/cognitive-services/speech-service/embedded-speech/limited-access-embedded-speech?context=%2Fazure%2Fai-services%2Fspeech-service%2Fcontext%2Fcontext&source=docs)
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**tbd**: update the link of an article to limited access for embedded content safety. Embedded speech's reference is [here](/legal/cognitive-services/speech-service/embedded-speech/limited-access-embedded-speech?context=%2Fazure%2Fai-services%2Fspeech-service%2Fcontext%2Fcontext&source=docs)
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## Platform requirements
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The [sample code](https://github.com/Azure/azure-ai-content-safety-sdk) includes code snippet to monitor performance metrics like memory, inference time.
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[to-do] make below table two inline sections, one for image, one for text
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#### Text perf benchmark data
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#### [Text analysis performance](#tab/text)
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**CPU: Intel(R) Core(TM) Ultra i9 149000HX**
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|------------------------|---------|
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| 940 MB | 80 ms |
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#### Image performance benchmark data
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#### [Image analysis performance](#tab/image)
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**CPU: Intel(R) Core(TM) Ultra i9 149000HX**
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