![]() * Ivy Bridge (3xxx series) removes the 1920x1080 limit and works at 4K. * Sandy Bridge (2xxx series) offers H.264 hardware acceleration only for resolutions up to 1920x1080. Quick Sync Video capabilities vary by the age of the CPU: Quick Sync is only available on Intel CPUs with integrated graphics, and it doesn't work within virtual machines unless you pass through the Intel integrated graphics to the VM, which does not work on all systems. Intel Quick Sync Video support can be used for hardware accelerated video decoding, which can improve energy-efficiency and performance, however the difference is minimal if you are use sub streams effectively, and the use of substreams can negate the need of Quick Sync, bringing many non-Intel CPUs into play. If you want to buy or build a new machine, use the most recent CPU hardware generation from AMD or Intel. In many parts of the world, the used market for PCs will be far more cost-effective than buying new. Higher-spec CPUs may be able to provide better frame rates at 4K resolution, better remote viewing performance with multiple users connected, and can have enough power left over for Deepstack AI if you choose to use it. Lesser CPUs will still work fine with proper software configuration, just perhaps not with as high of resolutions and frame rates. As a minimum, I recommend a CPU with a CPU Mark of at least 6000, and single thread rating of at least 2000. Since 2020, proper use of sub streams will enable nearly any quad-core desktop CPU made since 2012 to handle nearly any number of cameras up to Blue Iris's limit of 64 cameras. * Integrated graphics is highly recommended for its cost-effectiveness compared to a dedicated GPU. But low single thread performance (below about 2000-2500) may cause stuttering or jerky playback even with lower-resolution video than 4K. * High Single Thread performance is mainly important for working with 4K video at high frame rates. * High Multi Thread performance helps your system scale up (more cameras, more concurrent remote viewers, better AI analytics response time, etc). There are several important factors in choosing a CPU: The CPU determines how much video your system will be able to process, and how much electricity it will consume. The most important aspect of a Blue Iris computer is the CPU. This is all in an effort to provide greater understanding of the capabilities of different hardware configurations running Blue IrisĬheck it out, here: Blue Iris Performance Data Data is collected in an automated fashion, ensuring that it remains unbiased and as accurate as possible. Since late 2017, users of the tool " Blue Iris Update Helper" are regularly contributing performance data to a public database. These still make very capable computers for Blue Iris if you configure things properly.Įach manufacturer also has an "outlet" store where they sell their own refurbished computers, although these have often been picked clean of all the best deals already. Older systems, such as those based on i5-4590 or i5-4570 can be found for $100 or less. These are better for large workloads, such as if you have more than about 12-16 cameras. i7 systems can be found between $200-$500 (or cheaper if older). These make great Blue Iris computers for medium-size workloads.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |