Answers.Body: <p><a href="https://github.com/jcjohnson/cnn-benchmarks" rel="nofollow noreferrer">https://github.com/jcjohnson/cnn-benchmarks</a> might be a good start. It mostly focuses on GPUs, but there is also one CPU (Dual Xeon E5-2630 v3).</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-07-05T12:24:12.087Z
Answers.LastActivityDate: 2019-11-04T03:34:23.667Z
Answers.LastEditDate: 2019-11-04T03:34:23.667Z
Answers.UserDisplayName: cantordust
Body: <p>I have a task where I would like to use a convolutional neural network (CNN). I would like to incrementally start from the fastest models, fine-tune and see whether they fit my "budget". At the moment, I'm just looking at object detection CNN-based feedforward models.</p>
  
  <p>I'm curious to know if there is any article, blog, web page or gist that benchmarks the popular CNN models based on the forward-pass speed. If there is back-propagation time and dataset-wise performance, even better!</p>
  
Tags: <convolutional-neural-networks><computer-vision><feedforward-neural-networks><benchmarks>
Title: Are there benchmarks for assessing the speed of the forward-pass of neural networks?
UserDisplayName: The Nomadic Coder
ThreadText: # Are there benchmarks for assessing the speed of the forward-pass of neural networks?
  
  (Asked by: username_0 on 2018-07-05)
  
  I have a task where I would like to use a convolutional neural network (CNN). I would like to incrementally start from the fastest models, fine-tune and see whether they fit my "budget". At the moment, I'm just looking at object detection CNN-based feedforward models.
  
  I'm curious to know if there is any article, blog, web page or gist that benchmarks the popular CNN models based on the forward-pass speed. If there is back-propagation time and dataset-wise performance, even better!
  
  **Tags:** convolutional-neural-networks, computer-vision, feedforward-neural-networks, benchmarks
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2018-07-05. Score: 1 | Accepted answer
  
  <https://github.com/jcjohnson/cnn-benchmarks> might be a good start. It mostly focuses on GPUs, but there is also one CPU (Dual Xeon E5-2630 v3).
  
  
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