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update readme and clean benchmark results
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README.md

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@@ -53,15 +53,15 @@ Small variants of simplenet consistently achieve high performance/accuracy:
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| model | samples_per_sec | param_count | top1 | top5 |
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|:----------------------------------| :--------------: | :-----------: | :--: | :---: |
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|simplenetv1_small_m1_05 | 3100.26 | 1.51 | 61.122 | 82.988 |
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|**simplenetv1_small_m1_05** | 3100.26 | **1.51** | **61.122** | **82.988** |
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|mobilenetv3_small_050 | 3082.85 | 1.59 | 57.89 | 80.194 |
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|lcnet_050 | 2713.02 | 1.88 | 63.1 | 84.382 |
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|simplenetv1_small_m2_05 | 2536.16 | 1.51 | 61.67 | 83.488 |
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|**simplenetv1_small_m2_05** | 2536.16 | **1.51** | **61.67** | **83.488** |
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|mobilenetv3_small_075 | 1793.42 | 2.04 | 65.242 | 85.438 |
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|tf_mobilenetv3_small_075 | 1689.53 | 2.04 | 65.714 | 86.134 |
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|simplenetv1_small_m1_075 | 1626.87 | 3.29 | 67.784 | 87.718 |
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|**simplenetv1_small_m1_075** | 1626.87 | **3.29** | **67.784** | **87.718** |
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|tf_mobilenetv3_small_minimal_100 | 1316.91 | 2.04 | 62.908 | 84.234 |
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|simplenetv1_small_m2_075 | 1313.6 | 3.29 | 68.506 | 88.15 |
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|**simplenetv1_small_m2_075** | 1313.6 | **3.29** | **68.506** | **88.15** |
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|mobilenetv3_small_100 | 1261.09 | 2.54 | 67.656 | 87.634 |
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|tf_mobilenetv3_small_100 | 1213.03 | 2.54 | 67.924 | 87.664 |
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|mnasnet_small | 1089.33 | 2.03 | 66.206 | 86.508 |
@@ -74,11 +74,11 @@ and this is a sample for larger models: simplenet variants outperform many newer
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| model | samples_per_sec | param_count | top1 | top5 |
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|:----------------------------------| :--------------: | :-----------: | :----: | :----: |
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| simplenetv1_small_m1_075 | 2893.91 | 3.29 | 67.784 | 87.718 |
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| simplenetv1_small_m2_075 | 2478.41 | 3.29 | 68.506 | 88.15 |
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| **simplenetv1_small_m1_075** | 2893.91 | **3.29** | **67.784** | **87.718** |
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| **simplenetv1_small_m2_075** | 2478.41 | **3.29** | **68.506** | **88.15** |
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| vit_tiny_r_s16_p8_224 | 2337.23 | 6.34 | 71.792 | 90.822 |
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| simplenetv1_5m_m1 | 2105.06 | 5.75 | 71.548 | 89.94 |
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| simplenetv1_5m_m2 | 1754.25 | 5.75 | 72.03 | 90.324 |
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| **simplenetv1_5m_m1** | 2105.06 | **5.75** | **71.548** | **89.94** |
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| **simplenetv1_5m_m2** | 1754.25 | **5.75** | **72.03** | **90.324** |
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| resnet18 | 1750.38 | 11.69 | 69.744 | 89.082 |
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| regnetx_006 | 1620.25 | 6.2 | 73.86 | 91.672 |
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| mobilenetv3_large_100 | 1491.86 | 5.48 | 75.766 | 92.544 |
@@ -89,11 +89,11 @@ and this is a sample for larger models: simplenet variants outperform many newer
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| tf_mobilenetv3_large_100 | 1325.06 | 5.48 | 75.518 | 92.604 |
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| mnasnet_100 | 1183.69 | 4.38 | 74.658 | 92.112 |
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| mobilenetv2_100 | 1101.58 | 3.5 | 72.97 | 91.02 |
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| simplenetv1_9m_m1 | 1048.91 | 9.51 | 73.792 | 91.486 |
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| **simplenetv1_9m_m1** | 1048.91 | **9.51** | **73.792** | **91.486** |
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| resnet34 | 1030.4 | 21.8 | 75.114 | 92.284 |
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| deit_tiny_patch16_224 | 990.85 | 5.72 | 72.172 | 91.114 |
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| efficientnet_lite0 | 977.76 | 4.65 | 75.476 | 92.512 |
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| simplenetv1_9m_m2 | 900.45 | 9.51 | 74.23 | 91.748 |
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| **simplenetv1_9m_m2** | 900.45 | **9.51** | **74.23** | **91.748** |
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| tf_efficientnet_lite0 | 876.66 | 4.65 | 74.832 | 92.174 |
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| dla34 | 834.35 | 15.74 | 74.62 | 92.072 |
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| mobilenetv2_110d | 824.4 | 4.52 | 75.038 | 92.184 |

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