From aa4b8b79aa0d931394ca3f614b33828ecdfe0fb4 Mon Sep 17 00:00:00 2001 From: Raymond Hill Date: Fri, 22 Aug 2014 06:21:56 -0700 Subject: [PATCH] =?UTF-8?q?Updated=20=C2=B5Block=20vs.=20ABP:=20efficiency?= =?UTF-8?q?=20compared=20(markdown)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- µBlock-vs.-ABP:-efficiency-compared.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/µBlock-vs.-ABP:-efficiency-compared.md b/µBlock-vs.-ABP:-efficiency-compared.md index d150771..862f6a0 100644 --- a/µBlock-vs.-ABP:-efficiency-compared.md +++ b/µBlock-vs.-ABP:-efficiency-compared.md @@ -77,7 +77,7 @@ A good stress test which further demonstrate this is the [infamous vim test](htt Above picture gives an overview of how much more memory Adblock Plus consumes over µBlock. It represents the **extra memory** ABP consumes relative to µBlock -- so essentially µBlock is the horizontal axis. If memory consumption of ABP and µBlock were exactly the same, there would be no graph. The [reference benchmark](/gorhill/uBlock/wiki/Reference-benchmark) was used, which consists of visiting 60 front pages of high traffic web sites. -The vertical represents MB. The horizontal axis is time in seconds, and the data was tediously extracted from [this video](https://www.youtube.com/watch?v=DKM78oV_ftg) (consider the video to be the raw data -- [here is the spreadsheet](https://github.com/gorhill/uBlock/blob/master/doc/benchmarks/ublock-vs-abp-timeline.ods) so people can double check in doubt). +The vertical axis represents MB. The horizontal axis is time in seconds, and the data was tediously extracted from [this video](https://www.youtube.com/watch?v=DKM78oV_ftg) (consider the video to be the raw data -- [here is the spreadsheet](https://github.com/gorhill/uBlock/blob/master/doc/benchmarks/ublock-vs-abp-timeline.ods) so people can double check in doubt). The blue area represents how much more ABP itself consumes more memory then µBlock. The orange area represents how much more ABP causes the web pages themselves to consume more memory. ABP systematically causes web pages to consume more memory, and often quite a lot, north of 100 MB for some sites. This kind of added short term memory overhead is not cheap, as it also means the CPU is working harder.