<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>

CC BY-SA 4.0
2018-07-05T12:24:12.087Z
2019-11-04T03:34:23.667Z
2019-11-04T03:34:23.667Z
cantordust
<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>

<convolutional-neural-networks><computer-vision><feedforward-neural-networks><benchmarks>
Are there benchmarks for assessing the speed of the forward-pass of neural networks?
The Nomadic Coder
# 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


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## 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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