THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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This group of the performance test is gathered on AWS EC2 instances
Performance
Boostboost with Intel MKL-DNN backend
from various modelsin release 1.3
w/o MKL-DNN, pip install mxnet==1.3.0
w/ MKL-DNN, pip install mxnet-mkl==1.3.0
Category | Model | Latency batchsize=1 (ms, small is better) | Throughput batchsize=128 (fps, big is better) | ||||
| w/o MKL-DNN | w/ MKL-DNN | speedup | w/o MKL-DNN | w/ MKL-DNN | speedup | ||
CNN/classification | ResNet-50 v1 | ||||||
| ResNet-50 v2 | |||||||
| Inception v3 | |||||||
| Inception v4 | |||||||
| DenseNet | |||||||
| MobileNet | |||||||
| VGG16 | |||||||
| AlexNet | |||||||
| inception-resnet v2 | |||||||
CNN/object detection | Faster R-CNN | ||||||
| SSD-VGG16 | |||||||
| SSD-MobileNet | |||||||
RNN | GNMT | ||||||
| GAN | DCGAN | ||||||
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