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Published 20 hours ago • verified publisher icon u39kun

What frameworks / models / GPUs, etc., do you want to see for comparison?

Open u39kun opened this issue 7 years ago • 9 comments

This is an open thread for requests.

u39kun avatar Apr 05 '18 03:04 u39kun

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

u39kun avatar Aug 22 '18 18:08 u39kun

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

Thanks.

clhne avatar Sep 28 '18 03:09 clhne

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

clhne avatar Oct 05 '18 12:10 clhne

A recent MxNet build would interesting to see in this comparison

jaapkroe avatar Oct 07 '18 21:10 jaapkroe

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

  • AMD Ryzen 7 2700X CPU
  • G.Skill Trident Z, 32 GB, CL14 14-14-34
  • ASRock X470 Taichi Ultimate
  • TensorFlow 1.12 for CUDA 10 + cudnn 7.3.1
  • nvidia-docker with nvidia/cuda:10.0-cudnn7-devel

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

stefan-it avatar Oct 27 '18 09:10 stefan-it

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

EmilPi avatar Feb 14 '19 09:02 EmilPi

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

Ark-kun avatar Nov 19 '20 02:11 Ark-kun

Hi, RX 3080 vs RX6800XT please

peterdu989 avatar Nov 19 '20 02:11 peterdu989

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

HudenJear avatar Aug 13 '22 11:08 HudenJear