https://github.com/stefan-it/dl-benchmarks
Deep Learning Benchmark Results (RTX 2080 TI vs. RTX 2070)
https://github.com/stefan-it/dl-benchmarks
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Deep Learning Benchmark Results (RTX 2080 TI vs. RTX 2070)
- Host: GitHub
- URL: https://github.com/stefan-it/dl-benchmarks
- Owner: stefan-it
- Created: 2018-10-27T10:21:49.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-10-27T11:27:53.000Z (over 6 years ago)
- Last Synced: 2025-03-30T04:13:07.549Z (about 2 months ago)
- Size: 1000 Bytes
- Stars: 16
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Deep Learning Benchmarks (RTX 2080 TI vs. RTX 2070)
# Benchmark
## Software
* Lambdalabs Benchmark, see repository [here](https://github.com/lambdal/lambda-tensorflow-benchmark)
* Yusaku Sako's benchmark, see repository [here](https://github.com/u39kun/deep-learning-benchmark)
* TensorFlow 1.12 for CUDA 10 + cudnn 7.3.1, from [here](https://github.com/tensorflow/tensorflow/issues/22706#issuecomment-429594338)
* `nvidia-docker` with `nvidia/cuda:10.0-cudnn7-devel` image, from [here](https://hub.docker.com/r/nvidia/cuda/)
## 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](https://github.com/stefan-it/dl-benchmarks/issues).