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u39kun / deep-learning-benchmark

Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
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What frameworks / models / GPUs, etc., do you want to see for comparison? #8

Open u39kun opened 6 years ago

u39kun commented 6 years ago

This is an open thread for requests.

u39kun commented 6 years ago

Pre-orderd a 2080 Ti. I plan on posting results when I get it (should arrive early Oct.)

clhne commented 6 years ago

When use to training ,RTX 2080 Ti and TiTan V, which do you prefer ?

Thanks.

clhne commented 5 years ago

Could you compare the inference framework, such as Tensorflow Lite ,PaddlePaddle,TEngine,etc. Thanks.

jaapkroe commented 5 years ago

A recent MxNet build would interesting to see in this comparison

stefan-it commented 5 years ago

@u39kun Here are the results for TensorFlow on the following system:

For a Zotac RTX 2070 AMP Extreme:

Precision vgg16 eval vgg16 train resnet152 eval resnet152 train
32-bit 42.6ms 130.6ms 65.1ms 264.2ms
16-bit 29.0ms 94.2ms 39.5ms 183.9ms

For a Zotac RTX 2080 TI:

Precision vgg16 eval vgg16 train resnet152 eval resnet152 train
32-bit 29.0ms 91.4ms 43.6ms 191.2ms
16-bit 18.7ms 60.2ms 25.5ms 135.0ms
EmilPi commented 5 years ago

Hi, I am really interested to see mxnet benchmark. Please include it if possible.

Ark-kun commented 3 years ago

It would be great to have some AMD GPUs tested. See https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/issues/173

peterdu989 commented 3 years ago

Hi, RX 3080 vs RX6800XT please

HudenJear commented 2 years ago

This code works well on the AMD rocm system. 12700K+6800XT Pytorch1.12.1(ROCM5.1) Test without MIOpen: pytorch's vgg16 eval at fp32: 32.9ms avg pytorch's vgg16 train at fp32: 126.4ms avg pytorch's resnet152 eval at fp32: 48.9ms avg pytorch's resnet152 train at fp32: 184.8ms avg pytorch's densenet161 eval at fp32: 45.4ms avg pytorch's densenet161 train at fp32: 170.6ms avg

pytorch's vgg16 eval at fp16: 19.9ms avg pytorch's vgg16 train at fp16: 92.8ms avg pytorch's resnet152 eval at fp16: 28.1ms avg pytorch's resnet152 train at fp16: 132.8ms avg pytorch's densenet161 eval at fp16: 37.8ms avg pytorch's densenet161 train at fp16: 136.9ms avg

Hi, RX 3080 vs RX6800XT please