Deep Learning Benchmark Results (RTX 2080 TI vs. RTX 2070)
Switch branches/tags
Nothing to show
Clone or download
Permalink
Failed to load latest commit information.
README.md readme: add faq and contact section Oct 27, 2018

README.md

Deep Learning Benchmarks (RTX 2080 TI vs. RTX 2070)

Benchmark

Software

  • Lambdalabs Benchmark, see repository here
  • Yusaku Sako's benchmark, see repository here
  • TensorFlow 1.12 for CUDA 10 + cudnn 7.3.1, from here
  • nvidia-docker with nvidia/cuda:10.0-cudnn7-devel image, from here

Hardware

  • AMD Ryzen 7 2700X CPU
  • G.Skill Trident Z, 32 GB, CL14 14-14-34
  • ASRock X470 Taichi Ultimate
  • Zotac RTX 2080 TI AMP
  • Zotac RTX 2070 AMP Extreme

Results (Lambdalabs benchmark)

syn-replicated-fp32-1gpus

Config 2700X-GeForce_RTX_2080_Ti 2700X-GeForce_RTX_2070 Difference
resnet50 307.54 209.46 98.08 (32 %)
resnet152 117.2 81.59 35.61 (30 %)
inception3 205.31 136.94 68.37 (33 %)
inception4 85.66 57.98 27.68 (32 %)
vgg16 181.17 120.9 60.27 (33 %)
alexnet 3835.94 2510.35 1325.59 (35 %)
ssd300 156.91 108.53 48.38 (31 %)

syn-parameter_server-fp32-1gpus

Config 2700X-GeForce_RTX_2080_Ti 2700X-GeForce_RTX_2070 Difference
resnet50 306.02 208.58 97.44 (32 %)
resnet152 116.98 81.62 35.36 (30 %)
inception3 205.14 137.0 68.14 (33 %)
inception4 85.63 58.01 27.62 (32 %)
vgg16 181.14 120.97 60.17 (33 %)
alexnet 3834.12 2512.17 1321.95 (34 %)
ssd300 156.78 108.57 48.21 (31 %)

syn-replicated-fp16-1gpus

Config 2700X-GeForce_RTX_2080_Ti 2700X-GeForce_RTX_2070 Difference
resnet50 496.29 344.88 151.41 (31 %)
resnet152 187.12 131.68 55.44 (30 %)
inception3 305.53 200.72 104.81 (34 %)
inception4 118.36 83.98 34.38 (29 %)
vgg16 264.88 170.18 94.7 (36 %)
alexnet 5274.9 3297.37 1977.53 (37 %)
ssd300 207.26 145.86 61.4 (30 %)

syn-parameter_server-fp16-1gpus

Config 2700X-GeForce_RTX_2080_Ti 2700X-GeForce_RTX_2070 Difference
resnet50 501.49 347.51 153.98 (31 %)
resnet152 190.38 133.54 56.84 (30 %)
inception3 307.93 202.11 105.82 (34 %)
inception4 120.55 85.35 35.2 (29 %)
vgg16 269.87 173.37 96.5 (36 %)
alexnet 5371.81 3349.07 2022.74 (38 %)
ssd300 207.19 146.78 60.41 (29 %)

Results (Yusaku Sako's benchmark)

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

RTX 2070

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

Comparison

32-bit

Network RTX 2080 TI RTX 2070 Difference
vgg16 eval 29.0ms 42.6ms 13.6 ( 32 %)
vgg16 train 91.4ms 130.6ms 39.2 ( 30 %)
resnet152 eval 43.6ms 65.1ms 21.5 ( 33 %)
resnet152 train 191.2ms 264.2ms 73.0 ( 28 %)

16-bit

Network RTX 2080 TI RTX 2070 Difference
vgg16 eval 18.7ms 29.0ms 10.3 ( 36 %)
vgg16 train 60.2ms 94.2ms 34.0 ( 36 %)
resnet152 eval 25.5ms 39.5ms 14.0 ( 35 %)
resnet152 train 135.0ms 183.9ms 48.9 ( 27 %)

FAQ

Coming here soon!

Contact (Bugs, Feedback, Contribution and more)

For questions about dl-benchmarks, please open an issue here.