Faiss
Faiss is developed by Meta/Facebook. Faiss is a library for efficient similarity search and clustering of dense vectors.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark faiss.
Project Site
faiss.aiSource Repository
github.comTest Created
28 April 2023Test Maintainer
Michael LarabelTest Type
SystemTest Dependencies
Python + C/C++ Compiler Toolchain + FortranAccolades
20k+ DownloadsSupported Platforms
** 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.
Data updated weekly as of 21 November 2024.
Performance Metrics
Analyze Test Configuration:Faiss 1.7.4
Test: demo_sift1M
OpenBenchmarking.org metrics for this test profile configuration based on 28 public results since 28 April 2023 with the latest data as of 8 January 2024.
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 (Faiss 1.7.4 - Test: demo_sift1M) has an average run-time of 5 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.
Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.2%.
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.