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u39kun
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deep-learning-benchmark
Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
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Cite the benchmark results
#15
zm17943
opened
3 years ago
0
Update models.py
#14
dd52
closed
1 year ago
0
Extend benchmark results with RTX-2080 Ti and Reformat Output Tables
#13
guitarmind
closed
5 years ago
1
Running the benchmark with rtx 2080 Ti
#12
ghost
opened
5 years ago
1
Which dataset you use in images per second?
#11
clhne
closed
6 years ago
1
How is possible to work with FP16 in GTX 1080 Ti?
#10
diegodgs
closed
6 years ago
1
Nvidia claims 6x performance improvement with cudnn 7.2
#9
albu
opened
6 years ago
6
What frameworks / models / GPUs, etc., do you want to see for comparison?
#8
u39kun
opened
6 years ago
9
master
#7
Delicate-aRt
closed
6 years ago
0
V100 for TensorFlow 1.5 and Pytorch 3 (update)
#6
melgor
closed
6 years ago
4
fix
#5
ppwwyyxx
closed
6 years ago
0
Tensorflow 1.5
#4
anatolix
closed
6 years ago
6
About the tensorflow benchmark in half-percision
#3
foreverYoungGitHub
closed
6 years ago
3
add missed comma
#2
AvenSun
closed
6 years ago
0
Minibatch size when going to mixed precision
#1
dimitry12
opened
6 years ago
0