Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

# Model yang Diuji
<a name="neo-supported-edge-tested-models"></a>

Bagian yang dapat dilipat berikut memberikan informasi tentang model pembelajaran mesin yang diuji oleh tim Amazon SageMaker Neo. Perluas bagian yang dapat dilipat berdasarkan kerangka kerja Anda untuk memeriksa apakah model telah diuji.

**catatan**  
Ini bukan daftar lengkap model yang dapat dikompilasi dengan Neo.

Lihat [Kerangka Kerja yang Didukung](neo-supported-devices-edge-frameworks.md) dan [Operator yang Didukung SageMaker AI Neo](https://aws.amazon.com/releasenotes/sagemaker-neo-supported-frameworks-and-operators/) untuk mengetahui apakah Anda dapat mengkompilasi model Anda dengan SageMaker Neo.

## DarkNet
<a name="collapsible-section-01"></a>


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| Alexnet |  |  |  |  |  |  |  |  |  | 
| Resnet50 | X | X |  | X | X | X |  | X | X | 
| YoLOV2 |  |  |  | X | X | X |  | X | X | 
| Yolov2\_kecil | X | X |  | X | X | X |  | X | X | 
| Yolov3\_416 |  |  |  | X | X | X |  | X | X | 
| Yolov3\_kecil | X | X |  | X | X | X |  | X | X | 

## MXNet
<a name="collapsible-section-02"></a>


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| Alexnet |  |  | X |  |  |  |  |  |  | 
| Densenet121 |  |  | X |  |  |  |  |  |  | 
| DenseNet201 | X | X | X | X | X | X |  | X | X | 
| GoogLeNet | X | X |  | X | X | X |  | X | X | 
| InceptionV3 |  |  |  | X | X | X |  | X | X | 
| MobileNet0.75 | X | X |  | X | X | X |  |  | X | 
| MobileNet1.0 | X | X | X | X | X | X |  |  | X | 
| MobileNetV2\_0.5 | X | X |  | X | X | X |  |  | X | 
| MobileNetV2\_1.0 | X | X | X | X | X | X | X | X | X | 
| MobileNetV3\_Besar | X | X | X | X | X | X | X | X | X | 
| MobileNetV3\_Kecil | X | X | X | X | X | X | X | X | X | 
| ResNeSt50 |  |  |  | X | X |  |  | X | X | 
| ResNet18\_v1 | X | X | X | X | X | X |  |  | X | 
| ResNet18\_v2 | X | X |  | X | X | X |  |  | X | 
| ResNet50\_v1 | X | X | X | X | X | X |  | X | X | 
| ResNet50\_v2 | X | X | X | X | X | X |  | X | X | 
| ResNext101\_32x4d |  |  |  |  |  |  |  |  |  | 
| ResNext50\_32x4d | X |  | X | X | X |  |  | X | X | 
| Senet\_154 |  |  |  | X | X | X |  | X | X | 
| SE\_ 50\_32x4d ResNext | X | X |  | X | X | X |  | X | X | 
| SqueezeNet1.0 | X | X | X | X | X | X |  |  | X | 
| SqueezeNet1.1 | X | X | X | X | X | X |  | X | X | 
| VGG11 | X | X | X | X | X |  |  | X | X | 
| Xception | X | X | X | X | X | X |  | X | X | 
| darknet53 | X | X |  | X | X | X |  | X | X | 
| resnet18\_v1b\_0.89 | X | X |  | X | X | X |  |  | X | 
| resnet50\_v1d\_0.11 | X | X |  | X | X | X |  |  | X | 
| resnet50\_v1d\_0.86 | X | X | X | X | X | X |  | X | X | 
| ssd\_512\_mobilenet1.0\_coco | X |  | X | X | X | X |  | X | X | 
| ssd\_512\_mobilenet1.0\_voc | X |  | X | X | X | X |  | X | X | 
| ssd\_resnet50\_v1 | X |  | X | X | X |  |  | X | X | 
| yolo3\_darknet53\_coco | X |  |  | X | X |  |  | X | X | 
| yolo3\_mobilenet1.0\_coco | X | X |  | X | X | X |  | X | X | 
| deeplab\_resnet50 |  |  | X |  |  |  |  |  |  | 

## Keras
<a name="collapsible-section-03"></a>


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| densenet121 | X | X | X | X | X | X |  | X | X | 
| densenet201 | X | X | X | X | X | X |  |  | X | 
| inception\_v3 | X | X |  | X | X | X |  | X | X | 
| mobilenet\_v1 | X | X | X | X | X | X |  | X | X | 
| mobilenet\_v2 | X | X | X | X | X | X |  | X | X | 
| resnet152\_v1 |  |  |  | X | X |  |  |  | X | 
| resnet152\_v2 |  |  |  | X | X |  |  |  | X | 
| resnet50\_v1 | X | X | X | X | X |  |  | X | X | 
| resnet50\_v2 | X | X | X | X | X | X |  | X | X | 
| vgg16 |  |  | X | X | X |  |  | X | X | 

## ONNX
<a name="collapsible-section-04"></a>


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| alexnet |  |  | X |  |  |  |  |  |  | 
| mobilenetv2-1.0 | X | X | X | X | X | X |  | X | X | 
| resnet18v1 | X |  |  | X | X |  |  |  | X | 
| resnet18v2 | X |  |  | X | X |  |  |  | X | 
| resnet50v1 | X |  | X | X | X |  |  | X | X | 
| resnet50v2 | X |  | X | X | X |  |  | X | X | 
| resnet152v1 |  |  |  | X | X | X |  |  | X | 
| resnet152v2 |  |  |  | X | X | X |  |  | X | 
| squeezenet1.1 | X |  | X | X | X | X |  | X | X | 
| vgg19 |  |  | X |  |  |  |  |  | X | 

## PyTorch (FP32)
<a name="collapsible-section-05"></a>


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Ambarella CV25 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| densenet121 | X | X | X | X | X | X | X |  | X | X | 
| inception\_v3 |  | X |  |  | X | X | X |  | X | X | 
| resnet152 |  |  |  |  | X | X | X |  |  | X | 
| resnet18 | X | X |  |  | X | X | X |  |  | X | 
| resnet50 | X | X | X | X | X | X |  |  | X | X | 
| squeezenet1.0 | X | X |  |  | X | X | X |  |  | X | 
| squeezenet1.1 | X | X | X | X | X | X | X |  | X | X | 
| yolov4 |  |  |  |  | X | X |  |  |  |  | 
| yolov5 |  |  |  | X | X | X |  |  |  |  | 
| fasterrcnn\_resnet50\_fpn |  |  |  |  | X | X |  |  |  |  | 
| maskrcnn\_resnet50\_fpn |  |  |  |  | X | X |  |  |  |  | 

## TensorFlow
<a name="collapsible-section-06"></a>

------
#### [ TensorFlow ]


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Ambarella CV25 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| densenet201 | X | X | X | X | X | X | X |  | X | X | 
| inception\_v3 | X | X | X |  | X | X | X |  | X | X | 
| mobilenet100\_v1 | X | X | X |  | X | X | X |  |  | X | 
| mobilenet100\_v2.0 | X | X | X |  | X | X | X |  | X | X | 
| mobilenet130\_v2 | X | X |  |  | X | X | X |  |  | X | 
| mobilenet140\_v2 | X | X | X |  | X | X | X |  | X | X | 
| resnet50\_v1.5 | X | X |  |  | X | X | X |  | X | X | 
| resnet50\_v2 | X | X | X | X | X | X | X |  | X | X | 
| meremas | X | X | X | X | X | X | X |  | X | X | 
| topeng\_rcnn\_inception\_resnet\_v2 |  |  |  |  | X |  |  |  |  |  | 
| ssd\_mobilenet\_v2 |  |  |  |  | X | X |  |  |  |  | 
| lebih cepat\_rcnn\_resnet50\_lowproposal |  |  |  |  | X |  |  |  |  |  | 
| rfcn\_resnet101 |  |  |  |  | X |  |  |  |  |  | 

------
#### [ TensorFlow.Keras ]


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| DenseNet121 | X | X |  | X | X | X |  | X | X | 
| DenseNet201 | X | X |  | X | X | X |  |  | X | 
| InceptionV3 | X | X |  | X | X | X |  | X | X | 
| MobileNet | X | X |  | X | X | X |  | X | X | 
| MobileNetv2 | X | X |  | X | X | X |  | X | X | 
| NASNetLarge |  |  |  | X | X |  |  | X | X | 
| NASNetMobile | X | X |  | X | X | X |  | X | X | 
| ResNet101 |  |  |  | X | X | X |  |  | X | 
| ResNet101V2 |  |  |  | X | X | X |  |  | X | 
| ResNet152 |  |  |  | X | X |  |  |  | X | 
| ResNet152v2 |  |  |  | X | X |  |  |  | X | 
| ResNet50 | X | X |  | X | X |  |  | X | X | 
| ResNet50V2 | X | X |  | X | X | X |  | X | X | 
| VGG16 |  |  |  | X | X |  |  | X | X | 
| Xception | X | X |  | X | X | X |  | X | X | 

------

## TensorFlow-Lite
<a name="collapsible-section-07"></a>

------
#### [ TensorFlow-Lite (FP32) ]


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | i.MX 8M Plus | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| densenet\_2018\_04\_27 | X |  |  | X | X | X |  |  | X |  | 
| inception\_resnet\_v2\_2018\_04\_27 |  |  |  | X | X | X |  |  | X |  | 
| inception\_v3\_2018\_04\_27 |  |  |  | X | X | X |  |  | X | X | 
| inception\_v4\_2018\_04\_27 |  |  |  | X | X | X |  |  | X | X | 
| mnasnet\_0.5\_224\_09\_07\_2018 | X |  |  | X | X | X |  |  | X |  | 
| mnasnet\_1.0\_224\_09\_07\_2018 | X |  |  | X | X | X |  |  | X |  | 
| mnasnet\_1.3\_224\_09\_07\_2018 | X |  |  | X | X | X |  |  | X |  | 
| mobilenet\_v1\_0.25\_128 | X |  |  | X | X | X |  |  | X | X | 
| mobilenet\_v1\_0.25\_224 | X |  |  | X | X | X |  |  | X | X | 
| mobilenet\_v1\_0.5\_128 | X |  |  | X | X | X |  |  | X | X | 
| mobilenet\_v1\_0.5\_224 | X |  |  | X | X | X |  |  | X | X | 
| mobilenet\_v1\_0.75\_128 | X |  |  | X | X | X |  |  | X | X | 
| mobilenet\_v1\_0.75\_224 | X |  |  | X | X | X |  |  | X | X | 
| mobilenet\_v1\_1.0\_128 | X |  |  | X | X | X |  |  | X | X | 
| mobilenet\_v1\_1.0\_192 | X |  |  | X | X | X |  |  | X | X | 
| mobilenet\_v2\_1.0\_224 | X |  |  | X | X | X |  |  | X | X | 
| resnet\_v2\_101 |  |  |  | X | X | X |  |  | X |  | 
| squeezenet\_2018\_04\_27 | X |  |  | X | X | X |  |  | X |  | 

------
#### [ TensorFlow-Lite (INT8) ]


| Model | LENGAN V8 | ARM Mali | Ambarella CV22 | Nvidia | Panorama | TDA4VM | Qualcomm QCS603 | X86\_Linux | X86\_Windows | i.MX 8M Plus | 
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| inception\_v1 |  |  |  |  |  |  | X |  |  | X | 
| inception\_v2 |  |  |  |  |  |  | X |  |  | X | 
| inception\_v3 | X |  |  |  |  | X | X |  | X | X | 
| inception\_v4\_299 | X |  |  |  |  | X | X |  | X | X | 
| mobilenet\_v1\_0.25\_128 | X |  |  |  |  | X |  |  | X | X | 
| mobilenet\_v1\_0.25\_224 | X |  |  |  |  | X |  |  | X | X | 
| mobilenet\_v1\_0.5\_128 | X |  |  |  |  | X |  |  | X | X | 
| mobilenet\_v1\_0.5\_224 | X |  |  |  |  | X |  |  | X | X | 
| mobilenet\_v1\_0.75\_128 | X |  |  |  |  | X |  |  | X | X | 
| mobilenet\_v1\_0.75\_224 | X |  |  |  |  | X | X |  | X | X | 
| mobilenet\_v1\_1.0\_128 | X |  |  |  |  | X |  |  | X | X | 
| mobilenet\_v1\_1.0\_224 | X |  |  |  |  | X | X |  | X | X | 
| mobilenet\_v2\_1.0\_224 | X |  |  |  |  | X | X |  | X | X | 
| deeplab-v3\_513 |  |  |  |  |  |  | X |  |  |  | 

------