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Update wording for clarity in performance analysis
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content/learning-paths/mobile-graphics-and-gaming/measure-kleidiai-kernel-performance-on-executorch/08-analyze-etdump.md

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@@ -63,4 +63,4 @@ Below is an example showing the runtime data corresponding to the Fully Connecte
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You can now iterate over FP32 vs FP16 vs INT8 vs INT4 models, confirm the exact GEMM variant used, and quantify the latency savings attributable to KleidiAI micro-kernels on your Arm device.
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You can experiment with different models and matrix sizes to obtain various performance results.
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You can experiment with different models and matrix sizes to analyze various performance results.

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