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" | ||
+ | |- style="font-weight:bold;" | ||
+ | ! Hardware module | ||
+ | ! Specification | ||
+ | |- | ||
+ | | CPU | ||
+ | | - 4 cores ARM Cortex A53.<br />- Frequency: [1200, 1800] Hz.<br />- Supported 32 and 64 bits.<br />- One thread per core. | ||
+ | |- | ||
+ | | GPU | ||
+ | | - 3D GPU GC7000UltraLite.<br />- 2D GPU GC520L. | ||
+ | |- | ||
+ | | NPU | ||
+ | | - 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 | ||
+ | | - 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]. | ||
+ | |style=width:unset; | ||
+ | }} | ||
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+ | {{Getting started with AI on NXP i.MX8M Plus/Foot|Introduction/Overview|Introduction/Overview/Development tools}} | ||
+ | </noinclude> |
Latest revision as of 11:03, 21 March 2023
Getting started with AI on NXP i.MX8M Plus RidgeRun documentation is currently under development. |
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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.
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. |