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    <title>topic Re: Is Linux kernel 5.19 optimized for 12th gen cpu ? in Intel® Distribution of OpenVINO™ Toolkit</title>
    <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1511667#M29907</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I analyzed the result when i add scheduling PCORE_ONLY parameter in IR part. But the result is not improving. Here's the result shown as below, all numbers are recorded in milliseconds (ms).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i9-12900KF (without scheduling)&lt;BR /&gt;min 7.426463&lt;BR /&gt;max 12.879063&lt;BR /&gt;avg 9.938032436&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i9-12900KF (scheduling PCORE_ONLY)&lt;/P&gt;&lt;P&gt;min 7.024152001&lt;BR /&gt;max 12.607284&lt;BR /&gt;avg 9.807636577&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i7-11700&lt;/P&gt;&lt;P&gt;min 8.051206&lt;BR /&gt;max 13.548221&lt;BR /&gt;avg 8.709539491&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;From the result above, we can see, i just gained about 0.1ms from not using scheduling to use it. I also want to share the piece of code that does the IR part as shown below (we're using YOLOV7 Openvino script)&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot 2023-08-07 155458.jpg" style="width: 400px;"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/44374i12DC042C34A55A5A/image-size/medium/is-moderation-mode/true?v=v2&amp;amp;px=400&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="Screenshot 2023-08-07 155458.jpg" alt="Screenshot 2023-08-07 155458.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My question, what is the best IR parameter for 12th gen cpu ?&lt;/P&gt;&lt;P&gt;From my data, the i7-11700 and i5-1135G7, these two gave me logic and relevant benchmark data. Only the 12th gen not giving proper data.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards and thank you,&lt;/P&gt;&lt;P&gt;Aqil&lt;/P&gt;&lt;P&gt; &lt;/P&gt;</description>
    <pubDate>Mon, 07 Aug 2023 10:20:46 GMT</pubDate>
    <dc:creator>Aqil-ITXOTIC</dc:creator>
    <dc:date>2023-08-07T10:20:46Z</dc:date>
    <item>
      <title>Is Linux kernel 5.19 optimized for 12th gen cpu ?</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1510319#M29889</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am doing a benchmark for my license plate detection (ALPR) model. I am comparing the performance between i7-11700 and i9-12900KF. But surprisingly, the result i get is that i7-11700 outperformed slightly than i9-12900KF, which i trying to understand why.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The test configuration as of below : (for both cpu)&lt;/P&gt;&lt;P&gt;- my license plate detection (ALPR) model is FP16&lt;/P&gt;&lt;P&gt;- my code is written in python (version 3.8)&lt;/P&gt;&lt;P&gt;- OS Ubuntu 22.04 Kernel 5.19&lt;/P&gt;&lt;P&gt;- inferencing using openvino 23.01 (cpu mode)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The result benchmark i get (on average) for detecting license plate&lt;/P&gt;&lt;P&gt;- i7-11700 : 8.7095ms&lt;/P&gt;&lt;P&gt;- i9-12900KF : 9.938ms&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My question is, how comes i7-11700 beats i9-12900KF by 1.229ms ? In theory, the i9-12900KF should be more faster than i7-11700, right ?&lt;/P&gt;&lt;P&gt;What are the possible reason to explain the result i get ? Is it Kernel fault, which not optimized to handle P-core and E-core ?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you,&lt;/P&gt;&lt;P&gt;Aqil&lt;/P&gt;</description>
      <pubDate>Wed, 02 Aug 2023 04:02:54 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1510319#M29889</guid>
      <dc:creator>Aqil-ITXOTIC</dc:creator>
      <dc:date>2023-08-02T04:02:54Z</dc:date>
    </item>
    <item>
      <title>Re: Is Linux kernel 5.19 optimized for 12th gen cpu ?</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1510444#M29891</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Hi Aqil,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thank you for reaching out to us.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Yes, you are correct, Intel® Core™ i9-12900KF is more powerful than Intel® Core™ i7-11700 therefore theoretically should perform better. However, other factors such as the model used might affect the results of the OpenVINO™ inference. &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;From the &lt;/SPAN&gt;&lt;A style="font-size: 16px;" href="https://docs.openvino.ai/2023.0/openvino_docs_performance_benchmarks.html#" target="_blank" rel="noopener noreferrer"&gt;Performance Benchmark&lt;/A&gt;&lt;SPAN&gt; page, I configured the benchmark graph comparing i7-1185G7 and i9-12900HK. The results show that while most models perform better (lower latency) on the 12th gen CPU, there are some models that perform better (lower latency) on the 11th gen CPU. I share some of the results below:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="compare_1.png" style="width: 999px;"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/44248i03454A06C29F21C4/image-size/large?v=v2&amp;amp;px=999&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="compare_1.png" alt="compare_1.png" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="compare_2.png" style="width: 999px;"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/44249i4702B87D879D1825/image-size/large?v=v2&amp;amp;px=999&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="compare_2.png" alt="compare_2.png" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Based on your average results, the difference of 1.229ms might be plausible. However, to provide any confirmation, more details are needed. Please share with us your model for further investigation.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;On the other hand, the CPU plugin offers thread scheduling on 12th gen Intel® Core and up. You can choose to run inference on E-cores, P-cores, or both, depending on your application’s configurations. ​You can read more on the Release Notes page, under the &lt;/SPAN&gt;&lt;A style="font-size: 16px;" href="https://www.intel.com/content/www/us/en/developer/articles/release-notes/openvino/2023-0.html#inpage-nav-1" target="_blank" rel="noopener noreferrer"&gt;New and Changed in 2023.0&lt;/A&gt;&lt;SPAN&gt; section.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Could you try out the thread scheduling and run the benchmark on Intel® Core™ i9-12900KF using only P-cores to see if this solves your issue? For your information, I configured my scheduling core type to P-cores in Python here:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="pcore.png" style="width: 927px;"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/44250i468796FDC7222D47/image-size/large?v=v2&amp;amp;px=999&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="pcore.png" alt="pcore.png" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Regards,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Megat&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 02 Aug 2023 15:07:37 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1510444#M29891</guid>
      <dc:creator>Megat_Intel</dc:creator>
      <dc:date>2023-08-02T15:07:37Z</dc:date>
    </item>
    <item>
      <title>Re: Is Linux kernel 5.19 optimized for 12th gen cpu ?</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1511147#M29901</link>
      <description>&lt;P&gt;Thank you for your sharing and response.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;It's my mistake that i didn't pay attention to Openvino updates that it is now can do scheduling on P or E core. I'll modify my code and then i'll analyse the result.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you and best regards,&lt;/P&gt;&lt;P&gt;Aqil&lt;/P&gt;</description>
      <pubDate>Fri, 04 Aug 2023 10:16:33 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1511147#M29901</guid>
      <dc:creator>Aqil-ITXOTIC</dc:creator>
      <dc:date>2023-08-04T10:16:33Z</dc:date>
    </item>
    <item>
      <title>Re: Is Linux kernel 5.19 optimized for 12th gen cpu ?</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1511642#M29905</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I got the new result, and it's not really a great improvement. All numbers shown in millisecond (ms).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i9-12900KF (no scheduling core parameter) :&lt;/P&gt;&lt;TABLE width="176"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD width="88" height="21"&gt;min&lt;/TD&gt;&lt;TD width="88"&gt;7.426463&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="21"&gt;max&lt;/TD&gt;&lt;TD&gt;12.879063&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="21"&gt;avg&lt;/TD&gt;&lt;TD&gt;9.938032436&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i9-12900KF using PCORE_ONLY :&lt;/P&gt;&lt;TABLE width="176"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD width="88" height="21"&gt;min&lt;/TD&gt;&lt;TD width="88"&gt;7.024152001&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="21"&gt;max&lt;/TD&gt;&lt;TD&gt;12.607284&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="21"&gt;avg&lt;/TD&gt;&lt;TD&gt;9.807636577&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i7-11700&lt;/P&gt;&lt;TABLE width="176"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD width="88" height="21"&gt;min&lt;/TD&gt;&lt;TD width="88"&gt;8.051206&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="21"&gt;max&lt;/TD&gt;&lt;TD&gt;13.548221&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD height="21"&gt;avg&lt;/TD&gt;&lt;TD&gt;8.709539491&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;As shown above, i only gained roughly 0.1ms by stating scheduling core parameter PCORE_ONLY. And i'll share a piece of the code where the inference part take place :&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="AqilITXOTIC_0-1691394920859.png" style="width: 400px;"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/44368i125B1BE5658BD55C/image-size/medium/is-moderation-mode/true?v=v2&amp;amp;px=400&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="AqilITXOTIC_0-1691394920859.png" alt="AqilITXOTIC_0-1691394920859.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Other information i can share, we're using YOLOV7 Openvino. My benchmark program will run a local video mp4, car entering toll gate, we detect the licence plate, and read it. (Detection plate, crop the plate, feed into Optical Character Recognition).&lt;BR /&gt;The numbers i just share to you, is only the detection part (car enter, we detect the plate). This part is the most time taken compared to Post-Processing time taken and OCR time taken.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;So my question, based from my piece of code i shared, what is the best parameter for Inferencing especially for 12th gen cpu ?&lt;BR /&gt;I've tested on i7-11700 and i5-1135G7, and the result for these two cpu are relevant and logic.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards and thank you,&lt;/P&gt;&lt;P&gt;Aqil&lt;/P&gt;</description>
      <pubDate>Mon, 07 Aug 2023 08:02:23 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1511642#M29905</guid>
      <dc:creator>Aqil-ITXOTIC</dc:creator>
      <dc:date>2023-08-07T08:02:23Z</dc:date>
    </item>
    <item>
      <title>Re: Is Linux kernel 5.19 optimized for 12th gen cpu ?</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1511667#M29907</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I analyzed the result when i add scheduling PCORE_ONLY parameter in IR part. But the result is not improving. Here's the result shown as below, all numbers are recorded in milliseconds (ms).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i9-12900KF (without scheduling)&lt;BR /&gt;min 7.426463&lt;BR /&gt;max 12.879063&lt;BR /&gt;avg 9.938032436&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i9-12900KF (scheduling PCORE_ONLY)&lt;/P&gt;&lt;P&gt;min 7.024152001&lt;BR /&gt;max 12.607284&lt;BR /&gt;avg 9.807636577&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;i7-11700&lt;/P&gt;&lt;P&gt;min 8.051206&lt;BR /&gt;max 13.548221&lt;BR /&gt;avg 8.709539491&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;From the result above, we can see, i just gained about 0.1ms from not using scheduling to use it. I also want to share the piece of code that does the IR part as shown below (we're using YOLOV7 Openvino script)&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot 2023-08-07 155458.jpg" style="width: 400px;"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/44374i12DC042C34A55A5A/image-size/medium/is-moderation-mode/true?v=v2&amp;amp;px=400&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="Screenshot 2023-08-07 155458.jpg" alt="Screenshot 2023-08-07 155458.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My question, what is the best IR parameter for 12th gen cpu ?&lt;/P&gt;&lt;P&gt;From my data, the i7-11700 and i5-1135G7, these two gave me logic and relevant benchmark data. Only the 12th gen not giving proper data.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards and thank you,&lt;/P&gt;&lt;P&gt;Aqil&lt;/P&gt;&lt;P&gt; &lt;/P&gt;</description>
      <pubDate>Mon, 07 Aug 2023 10:20:46 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1511667#M29907</guid>
      <dc:creator>Aqil-ITXOTIC</dc:creator>
      <dc:date>2023-08-07T10:20:46Z</dc:date>
    </item>
    <item>
      <title>Re: Is Linux kernel 5.19 optimized for 12th gen cpu ?</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1512018#M29914</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Hi Aqil,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thanks for the details you provided.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;For your information, on my end, I validated the &lt;/SPAN&gt;&lt;A style="font-size: 16px;" href="https://github.com/WongKinYiu/yolov7/" target="_blank" rel="noopener noreferrer"&gt;YOLOv7&lt;/A&gt;&lt;SPAN&gt; model with OpenVINO™ &lt;/SPAN&gt;&lt;A style="font-size: 16px;" href="https://docs.openvino.ai/2023.0/openvino_inference_engine_tools_benchmark_tool_README.html" target="_blank" rel="noopener noreferrer"&gt;Benchmark Tool&lt;/A&gt;&lt;SPAN&gt; on Intel® Core™ i9-12900 and Intel® Core™ i7-1185G7. I received results that show that my i9-12900 performs better (137.90ms avg) than i7-1185G7 (194.66ms avg). However, it is important to note that the i7-1185G7 is less powerful than the i7-11700 that you have tested. I show my results below:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;i9-12900:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="yolov7-tiny_1912900.png" style="width: 999px;"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/44405i382A08A91698769D/image-size/large?v=v2&amp;amp;px=999&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="yolov7-tiny_1912900.png" alt="yolov7-tiny_1912900.png" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;i7-1185G7:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="yolov7-tiny_171165G7.png" style="width: 999px;"&gt;&lt;img src="https://community.intel.com/t5/image/serverpage/image-id/44406i2D3A29BFDD779E64/image-size/large?v=v2&amp;amp;px=999&amp;amp;whitelist-exif-data=Orientation%2CResolution%2COriginalDefaultFinalSize%2CCopyright" role="button" title="yolov7-tiny_171165G7.png" alt="yolov7-tiny_171165G7.png" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;On the other hand, we have informed the relevant team regarding your issue for further investigation and we'll get back to you once we receive any confirmation, thank you.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Regards,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Megat&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 08 Aug 2023 09:47:39 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1512018#M29914</guid>
      <dc:creator>Megat_Intel</dc:creator>
      <dc:date>2023-08-08T09:47:39Z</dc:date>
    </item>
    <item>
      <title>Re: Is Linux kernel 5.19 optimized for 12th gen cpu ?</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1536373#M30206</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Hi Aqil,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;We apologize for the delay.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;After the investigation with the relevant team, we believe the issue you observed is due to the model itself. We investigated on our end with models from Open Model Zoo and received the expected results. As mentioned before, on the &lt;/SPAN&gt;&lt;A style="font-size: 16px;" href="https://docs.openvino.ai/2023.1/openvino_docs_performance_benchmarks.html#" target="_blank" rel="noopener noreferrer"&gt;Performance Benchmark&lt;/A&gt;&lt;SPAN&gt; there are some models that perform better on the 11th-gen CPU compared to the 12th-gen CPU due to the model network structure.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The reason why some models perform differently is due to the model optimization. Each model has multiple layers that are optimized differently with OpenVINO™ which may affect the inference performance on the device. For your information, we tested the benchmark app on two models, the &lt;/SPAN&gt;&lt;A style="font-size: 16px;" href="https://docs.openvino.ai/2023.1/omz_models_model_license_plate_recognition_barrier_0001.html" target="_blank" rel="noopener noreferrer"&gt;license-plate-recognition-barrier-0001&lt;/A&gt;&lt;SPAN&gt; and the Yolov7-tiny model and also tested with the new OpenVINO™ 2023.1.0 release as well. Here are the Average Latency results we got:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG style="font-size: 16px;"&gt;license-plate-recognition-barrier-0001&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Hint: Latency&lt;/SPAN&gt;&lt;/P&gt;
&lt;TABLE class="ql-table-blob" style="direction: ltr; border: 1pt solid #a3a3a3;" border="1"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8791in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;CPU \ OV&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .6986in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;23.0.1&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .5423in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;23.1.0&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8791in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;&amp;nbsp;i9-12900&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .718in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;0.67 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .6034in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;0.62 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8986in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;&amp;nbsp;i7-1165G7&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .718in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;1.11 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .6034in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;1.15 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Hint: None &lt;/SPAN&gt;&lt;/P&gt;
&lt;TABLE class="ql-table-blob" style="direction: ltr; border: 1pt solid #a3a3a3;" border="1"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8791in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;CPU \ OV&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .6895in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;23.0.1&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .5423in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;23.1.0&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8791in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;&amp;nbsp;i9-12900&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7083in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;7.31 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .6034in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;7.29 ms&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8986in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;&amp;nbsp;i7-1165G7&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7083in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;3.95 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .6034in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;4.01 ms&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG style="font-size: 16px;"&gt;Yolov7-tiny&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Hint: Latency &lt;/SPAN&gt;&lt;/P&gt;
&lt;TABLE class="ql-table-blob" style="direction: ltr; border: 1pt solid #a3a3a3;" border="1"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8791in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;CPU \ OV&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7666in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;23.0.1&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .5986in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;23.1.0&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8791in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;&amp;nbsp;i9-12900&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7861in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;18.91 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7027in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;18.69 ms&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8986in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;&amp;nbsp;i7-1165G7&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7861in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;49.62 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7027in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;49.78 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Hint: None &lt;/SPAN&gt;&lt;/P&gt;
&lt;TABLE class="ql-table-blob" style="direction: ltr; border: 1pt solid #a3a3a3;" border="1"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8791in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;CPU \ OV&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .8444in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;23.0.1&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .6763in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;23.1.0&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8791in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;&amp;nbsp;i9-12900&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .8631in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;139.51 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7798in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;127.80 ms&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD style="vertical-align: top; width: .8986in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;&amp;nbsp;i7-1165G7&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .8631in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;"&gt;&lt;SPAN&gt;197.84 ms&lt;/SPAN&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD style="vertical-align: top; width: .7798in; padding: 2.0pt 3.0pt 2.0pt 3.0pt; border: 1pt solid #A3A3A3;"&gt;
&lt;P style="margin: 0in; font-family: Calibri; font-size: 11.0pt;" lang="en-US"&gt;198.05 ms&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;From our results, The Yolov7-tiny model performs as expected with the i9-12900 CPU being faster than the i7-1165G7 CPU. On the other hand, for the&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;license-plate-recognition-barrier-0001 model, the i9-12900 CPU did perform slower than the i7-1165G7 CPU however, when the latency hint is specified, the i9-12900 CPU is faster than the i7-1165G7 CPU.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;On another note, we observed that the i9-12900 CPU performs faster in the OpenVINO™ 2023.1.0 compared to the OpenVINO™ 2023.0.1. You can try to install the latest 2023.1.0 release to see if the performance improves. Hope this helps.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Regards,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Megat&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 23 Oct 2023 14:52:15 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1536373#M30206</guid>
      <dc:creator>Megat_Intel</dc:creator>
      <dc:date>2023-10-23T14:52:15Z</dc:date>
    </item>
    <item>
      <title>Re:Is Linux kernel 5.19 optimized for 12th gen cpu ?</title>
      <link>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1538581#M30229</link>
      <description>&lt;P&gt;&lt;SPAN style="font-size: 16px;"&gt;Hi Aqil,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 16px;"&gt;Thank you for your question. This thread will no longer be monitored since we have provided suggestions. If you need any additional information from Intel, please submit a new question.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 16px;"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 16px;"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 16px;"&gt;Regards,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 16px;"&gt;Megat&lt;/SPAN&gt;&lt;/P&gt;&lt;BR /&gt;</description>
      <pubDate>Mon, 30 Oct 2023 10:46:22 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Is-Linux-kernel-5-19-optimized-for-12th-gen-cpu/m-p/1538581#M30229</guid>
      <dc:creator>Megat_Intel</dc:creator>
      <dc:date>2023-10-30T10:46:22Z</dc:date>
    </item>
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