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    <title>topic Profiling on i.MX95 in i.MX Processors</title>
    <link>https://community.nxp.com/t5/i-MX-Processors/Profiling-on-i-MX95/m-p/2331315#M244455</link>
    <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;Is there a tool available to profile the runtime performance of the &lt;STRONG&gt;NPU and CPU (separately) on the i.MX95&lt;/STRONG&gt;?&lt;/P&gt;&lt;P&gt;So far, I found a related discussion pointing to &lt;STRONG&gt;Section 7.1.2 “Profiling on hardware accelerators” in the ML User Guide&lt;/STRONG&gt;, but this appears to apply only to the &lt;STRONG&gt;i.MX8 platform&lt;/STRONG&gt;.&lt;/P&gt;&lt;P&gt;I also found that in&amp;nbsp;&lt;STRONG&gt;Section 7.2.10 of the ML User Guide there is a functionality&amp;nbsp;&lt;/STRONG&gt;described specifically for the &lt;STRONG&gt;i.MX93&lt;/STRONG&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1) Is there an equivalent &lt;STRONG&gt;vela-prof&lt;/STRONG&gt; profiling tool or workflow available for the &lt;STRONG&gt;i.MX95&lt;/STRONG&gt;?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2) I also want to please know which command did you use to get the benchmark numbers (see photo) gathered from&amp;nbsp;&lt;A href="http://nxp-demo-experience-demos-list/scripts/machine_learning/nnstreamer/classification/README.md at lf-6.6.52_2.2.0 · nxp-imx-support/nxp-demo-experience-demos-list · GitHub&amp;nbsp;" target="_self"&gt;nxp-demo&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;e. g. my guess is something like:&amp;nbsp;./benchmark_model --graph=label.tflite --enable_op_profiling=true&amp;nbsp;&lt;SPAN&gt;--external_delegate_path=/usr/lib/libneutron_delegate.&lt;/SPAN&gt;so&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="image.png" style="width: 632px;"&gt;&lt;img src="https://community.nxp.com/t5/image/serverpage/image-id/379077i55A84024D470125F/image-size/large?v=v2&amp;amp;px=999" role="button" title="image.png" alt="image.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;3) Which Yocto BSD version was used for the benchmark shown in the photo?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would appreciate if you can please reply my three questions, thank you in advance!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;BR /&gt;EOF&lt;/P&gt;</description>
    <pubDate>Thu, 12 Mar 2026 10:20:55 GMT</pubDate>
    <dc:creator>EOF</dc:creator>
    <dc:date>2026-03-12T10:20:55Z</dc:date>
    <item>
      <title>Profiling on i.MX95</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/Profiling-on-i-MX95/m-p/2331315#M244455</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;Is there a tool available to profile the runtime performance of the &lt;STRONG&gt;NPU and CPU (separately) on the i.MX95&lt;/STRONG&gt;?&lt;/P&gt;&lt;P&gt;So far, I found a related discussion pointing to &lt;STRONG&gt;Section 7.1.2 “Profiling on hardware accelerators” in the ML User Guide&lt;/STRONG&gt;, but this appears to apply only to the &lt;STRONG&gt;i.MX8 platform&lt;/STRONG&gt;.&lt;/P&gt;&lt;P&gt;I also found that in&amp;nbsp;&lt;STRONG&gt;Section 7.2.10 of the ML User Guide there is a functionality&amp;nbsp;&lt;/STRONG&gt;described specifically for the &lt;STRONG&gt;i.MX93&lt;/STRONG&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1) Is there an equivalent &lt;STRONG&gt;vela-prof&lt;/STRONG&gt; profiling tool or workflow available for the &lt;STRONG&gt;i.MX95&lt;/STRONG&gt;?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2) I also want to please know which command did you use to get the benchmark numbers (see photo) gathered from&amp;nbsp;&lt;A href="http://nxp-demo-experience-demos-list/scripts/machine_learning/nnstreamer/classification/README.md at lf-6.6.52_2.2.0 · nxp-imx-support/nxp-demo-experience-demos-list · GitHub&amp;nbsp;" target="_self"&gt;nxp-demo&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;e. g. my guess is something like:&amp;nbsp;./benchmark_model --graph=label.tflite --enable_op_profiling=true&amp;nbsp;&lt;SPAN&gt;--external_delegate_path=/usr/lib/libneutron_delegate.&lt;/SPAN&gt;so&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="image.png" style="width: 632px;"&gt;&lt;img src="https://community.nxp.com/t5/image/serverpage/image-id/379077i55A84024D470125F/image-size/large?v=v2&amp;amp;px=999" role="button" title="image.png" alt="image.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;3) Which Yocto BSD version was used for the benchmark shown in the photo?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would appreciate if you can please reply my three questions, thank you in advance!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;BR /&gt;EOF&lt;/P&gt;</description>
      <pubDate>Thu, 12 Mar 2026 10:20:55 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/Profiling-on-i-MX95/m-p/2331315#M244455</guid>
      <dc:creator>EOF</dc:creator>
      <dc:date>2026-03-12T10:20:55Z</dc:date>
    </item>
    <item>
      <title>Re: Profiling on i.MX95</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/Profiling-on-i-MX95/m-p/2333908#M244523</link>
      <description>&lt;P&gt;The Neutron Profiling feature will be supported in the new release of eIQ AI toolkit (new version of eIQ toolkit).&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The work flow will be:&lt;/P&gt;
&lt;P&gt;1. Run the model on the i.MX95 target, and the profiling data will be collected.&lt;/P&gt;
&lt;P&gt;2. Export the profiling data and copy it to the PC where eIQ AI toolkit is installed, and use eIQ AI toolkit to visualize the profiling data.&lt;/P&gt;
&lt;P&gt;The eIQ AI toolkit will be released soon (should be ready by the end of 2026 March), you can try the feature after the release.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 17 Mar 2026 08:26:39 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/Profiling-on-i-MX95/m-p/2333908#M244523</guid>
      <dc:creator>yipingwang</dc:creator>
      <dc:date>2026-03-17T08:26:39Z</dc:date>
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