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authorKshitij Sisodia <kshitij.sisodia@arm.com>2022-08-18 12:54:34 +0100
committerNina Drozd <nina.drozd@arm.com>2022-08-25 14:32:02 +0000
commitc9f1717d227e21ebfab72cceee90b1f8f8522867 (patch)
tree991e1cb1b921f4cbe6cc88edc1797eb0eafba4cc /docs/quick_start.md
parent271c69e8e364361f3e4c839a10a4f29ef4c9c866 (diff)
downloadml-embedded-evaluation-kit-c9f1717d227e21ebfab72cceee90b1f8f8522867.tar.gz
MLECO-3252: Minor documentation additions
Documentation md files added under source tree with links to the main docs. Minor updates to FAQs for MLECO-3251 as well. Change-Id: Ifdcc587f2fcf77228fd46e211d3f9c3963bc9b97 Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
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@@ -303,3 +303,8 @@ cmake .. \
> **Note:** If you want to change the application, then, instead of using the `build_default` Python script, follow the
> approach defined in [documentation.md](./documentation.md#arm_ml-embedded-evaluation-kit). For example, if you wanted to modify the number of
> MACs units of the Ethos-U, or running a custom neural network.
+
+> **Note:** The performance summary produced by Vela compiler for any model are **estimates only**. Vela computes
+> these figures from a very simplistic approximation. To get accurate performance numbers for the Arm Ethos-U NPU,
+> please use the FVP or the FPGA platforms.
+