* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly. ** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform. *** Test profile page view reporting began March 2021. Data updated weekly as of 3 December 2023.
pts/avifenc-1.4.0 [View Source] Mon, 28 Aug 2023 19:28:06 GMT Update against libavif 1.0 upstream.
pts/avifenc-1.3.0 [View Source] Fri, 14 Oct 2022 19:58:08 GMT Update against avifenc 0.11 upstream.
pts/avifenc-1.2.0 [View Source] Wed, 06 Apr 2022 19:37:17 GMT Update against libavif 0.10 upstream new release.
pts/avifenc-1.1.1 [View Source] Tue, 23 Feb 2021 11:12:40 GMT Limit job count to 64 otherwise the program exits abnormally.
pts/avifenc-1.1.0 [View Source] Tue, 23 Feb 2021 09:55:44 GMT Update against upstream libavif 0.9.0.
pts/avifenc-1.0.0 [View Source] Tue, 02 Jun 2020 11:04:21 GMT Initial commit of libavif avifenc encode benchmark.
OpenBenchmarking.org metrics for this test profile configuration based on 449 public results since 14 October 2022 with the latest data as of 19 August 2023.
Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.
Based on OpenBenchmarking.org data, the selected test / test configuration (libavif avifenc 0.11 - Encoder Speed: 0) has an average run-time of 8 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.
Does It Scale Well With Increasing Cores?
Yes, based on the automated analysis of the collected public benchmark data, this test / test settings does generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.
Tested CPU Architectures
This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.
Intel / AMD x86 64-bit
Apple M1, Apple M1 Pro, Apple M2
Ampere ARMv8 Neoverse-N1 256-Core, Apple M1, Apple M2