Difference between revisions of "Getting started with AI on NXP i.MX8M Plus/Introduction/Overview/i.MX8M Plus hardware specifications"
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| + | {{Getting started with AI on NXP i.MX8M Plus/Head|previous=Introduction/Overview|next=Introduction/Overview/Development tools|metakeywords=i.MX8M Plus hardware specification, Variscite DART-MX8M-PLUS, Winograd Algorithm}} | ||
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| + | The board used in this entire research is the Variscite DART-MX8M-PLUS based on NXP i.MX8M Plus and some of the main characteristics are listed in the table below. | ||
{| class="wikitable" | {| class="wikitable" | ||
| − | |- style="font-weight:bold; | + | |- style="font-weight:bold;" |
! Hardware module | ! Hardware module | ||
! Specification | ! Specification | ||
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| GPU | | GPU | ||
| − | | - 3D GPU GC7000UltraLite.<br />- 2D GPU GC520L | + | | - 3D GPU GC7000UltraLite.<br />- 2D GPU GC520L. |
|- | |- | ||
| NPU | | NPU | ||
| − | | - Reaches up to 2.3 TOP/s.<br />- Optimized for voice and image<br /> recognition, object detection. | + | | - Reaches up to 2.3 TOP/s.<br />- Optimized for voice and image<br /> recognition, object detection. <br />- Uses Winograd Algorithm. <br />- Supports 8 and 16 bits operations. |
|- | |- | ||
| RAM | | RAM | ||
| - 4 GB.<br />- LPDDR4-4000. | | - 4 GB.<br />- LPDDR4-4000. | ||
|} | |} | ||
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| + | |issue='''Note:''' For more information please visit the Official [https://variwiki.com/index.php?title=DART-MX8M-PLUS Variscite site]. | ||
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| + | {{Getting started with AI on NXP i.MX8M Plus/Foot|Introduction/Overview|Introduction/Overview/Development tools}} | ||
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Latest revision as of 11:03, 21 March 2023
 | Getting started with AI on NXP i.MX8M Plus RidgeRun documentation is currently under development. |
|
The board used in this entire research is the Variscite DART-MX8M-PLUS based on NXP i.MX8M Plus and some of the main characteristics are listed in the table below.
| Hardware module | Specification |
|---|---|
| CPU | - 4 cores ARM Cortex A53. - Frequency: [1200, 1800] Hz. - Supported 32 and 64 bits. - One thread per core. |
| GPU | - 3D GPU GC7000UltraLite. - 2D GPU GC520L. |
| NPU | - Reaches up to 2.3 TOP/s. - Optimized for voice and image recognition, object detection. - Uses Winograd Algorithm. - Supports 8 and 16 bits operations. |
| RAM | - 4 GB. - LPDDR4-4000. |
 | Note: For more information please visit the Official Variscite site. |
