From: Evan Shelhamer <shelhamer@imaginarynumber.net>
Date: Thu, 3 Apr 2014 01:48:45 +0000 (-0700)
Subject: Include k40 images per day benchmark
X-Git-Tag: submit/tizen/20180823.020014~706
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=1406cc8eba3721328e8c0c62f91074b3a0db912d;p=platform%2Fupstream%2Fcaffeonacl.git

Include k40 images per day benchmark
---

diff --git a/README.md b/README.md
index b971859..6b45624 100644
--- a/README.md
+++ b/README.md
@@ -12,8 +12,8 @@ parameters in the code. Python and Matlab wrappers are provided.
 
 At the same time, Caffe fits industry needs, with blazing fast C++/Cuda code for
 GPU computation. Caffe is currently the fastest GPU CNN implementation publicly
-available, and is able to process more than **20 million images per day** on a
-single Tesla K20 machine \*.
+available, and is able to process more than **40 million images per day** on a
+single NVIDIA K40 GPU (or 20 million per day on a K20)\*.
 
 Caffe also provides **seamless switching between CPU and GPU**, which allows one
 to train models with fast GPUs and then deploy them on non-GPU clusters with one