AV1 Update Reduces CPU Encoding Times By Up To 34 Percent

According to Phoronix, Google has released a new AOM-AV1 update -- version 3.5, that drastically improves encode times when streaming, rendering, or recording from the CPU. At its best, the update can improve encoding times by up to 34%. Tom's Hardware reports: It is a fantastic addition to AV1's capabilities, with the encoder becoming very popular among powerful video platforms such as YouTube. In addition, we are also seeing significant support for AV1 hardware acceleration on modern discrete GPUs now, such as Intel's Arc Alchemist GPUs and, most importantly - Nvidia's RTX 40-series GPUs. Depending on the resolution, encoding times with the new update have improved by 20% to 30%. For example, at 1080P, encode times featuring 16 threads of processing are reduced by 18% to 34%. At 4K, render times improved by 18% to 20% with 32 threads. Google could do this by adding Frame Parallel Encoding to heavily multi-threaded configurations. Google has also added several other improvements contributing to AV1's performance uplifts in other areas - specifically in real-time encoding. In other words, CPU utilization in programs such as OBS has been reduced, primarily for systems packing 16 CPU threads. As a result, they are allowing users to use those CPU resources for other tasks or increase video quality even higher without any additional performance cost. If you are video editing and are rendering out a video in AV1, processing times will be vastly reduced if you have a CPU with 16 threads or more.

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