diff --git a/README.md b/README.md
index 6706d69fb4f..87a2b43d071 100644
--- a/README.md
+++ b/README.md
@@ -8,17 +8,16 @@ For more information about original Pillow, please
 [find out how to contribute](https://github.com/python-pillow/Pillow/blob/master/.github/CONTRIBUTING.md).
 
 
-## Aims
+## What is SIMD
 
 
 ## Status
 
 
-## Performance
+## Benchmarks
 
-Hardware: Intel Core i5 4258U with AVX2.
-
-Software: Ubuntu 14.04 64-bit.
+Numbers are megapixels of source image per second. For example if resize of
+7712x4352 image is done in 0.5 seconds, the resoult will be 61.7 Mpx/s.
 
 - ImageMagick 6.9.3-8 Q8 x86_64
 - Pillow 3.2.0
@@ -38,6 +37,36 @@ Source    | Operation                   | IM   | Pillow | SIMD SSE4 | SIMD AVX2
           | Blur 1px                    | 8.1  | 17.1   | 37.8
           | Blur 10px                   | 2.6  | 17.4   | 39.0
           | Blur 100px                  | 0.3  | 17.2   | 39.0
+1920x1280 | Bilinear resize to 16x16    | 41.6 | 196    | 422       | 489
+          | Bilinear resize to 320x180  | 27.6 | 111    | 196       | 197
+          | Bilinear resize to 2048x1155| 9.1  | 20.7   | 71.3      | 72.6
+          | Bicubic resize to 16x16     | 18.9 | 102    | 225       | 263
+          | Bicubic resize to 320x180   | 14.5 | 66.3   | 154       | 162
+          | Bicubic resize to 2048x1155 | 6.3  | 16.9   | 49.3      | 54.3
+          | Lanczos resize to 16x16     | 13.7 | 68.6   | 118       | 167
+          | Lanczos resize to 320x180   | 9.8  | 44.3   | 102       | 107
+          | Lanczos resize to 2048x1155 | 4.7  | 14.6   | 36.8      | 40.6
+          | Blur 1px                    | 8.7  | 16.2   | 35.7
+          | Blur 10px                   | 2.8  | 16.7   | 35.4
+          | Blur 100px                  | 0.4  | 16.4   | 36.2
+
+
+### Methodology
+
+All tests done on Ubuntu 14.04 64-bit runing on
+Intel Core i5 4258U with AVX2 CPU.
+
+Following script were using for tests:
+https://gist.github.com/homm/f9b8d8a84a57a7e51f9c2a5828e40e63
+
+
+## Why Pillow is so fast itself
+
+There are no cheats. High-quality resize and blur methods are used for all
+benchmakrs. And result is 
+
+
+## Why Pillow-SIMD even faster
 
 
 ## Contributing to Pillow-SIMD