---
layout: default
title: 64x64x3 Convolutional Neural Network
permalink: /gallery/ILSVRC2012/v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S
---

[Back to Gallery](/ELL/gallery)

## ILSVRC2012 Classification: 64x64x3 Convolutional Neural Network (57.12% top 1 accuracy, 80.49% top 5 accuracy, 870ms/frame on Raspberry Pi 3)

<table class="table table-striped table-bordered">
    <tr>
        <td> Download </td>
        <td colspan="3"> <a href="https://github.com/Microsoft/ELL-models/raw/master/models/ILSVRC2012/v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S/v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S.ell.zip">v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S.ell.zip</a></td>
    </tr>
    <tr>
        <td> Accuracy </td>
        <td colspan="3"> ILSVRC2012: 80.49% (Top 5), 57.12% (Top 1) </td>
    </tr>
    <tr>
        <td> Performance </td>
        <td colspan="3"> Raspberry Pi 3 (Raspbian) @ 700MHz: 870ms/frame<br>Raspberry Pi 3 (OpenSUSE) @ 600MHz: 810ms/frame<br>DragonBoard 410c @ 1.2GHz: 450ms/frame </td>
    </tr>
    <tr>
        <td> Uncompressed Size </td>
        <td colspan="3"> 278MB </td>
    </tr>
    <tr>
        <td> Input </td>
        <td colspan="3"> 64 &times; 64 &times; {B,G,R} </td>
    </tr>
    <tr>
        <td> Architecture </td>
        <td>
            <a href="https://github.com/Microsoft/ELL-models/raw/master/models/ILSVRC2012/v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S/v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S.cntk.svg?sanitize=true" target="_blank">v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S architecture (SVG)</a>
        </td>
    </tr>
    <tr>
        <td> Output </td>
        <td colspan="3"> <a href="https://github.com/Microsoft/ELL-models/raw/master/models/ILSVRC2012/categories.txt">ILSVRC2012 1000 classes</a> </td>
    </tr>
    <tr>
        <td> Notes </td>
        <td colspan="3"> Trained by Juan Lema using CNTK 2.2 </td>
    </tr>
</table>

