Faiss

Faiss is developed by Meta/Facebook. Faiss is a library for efficient similarity search and clustering of dense vectors.


Faiss 1.7.4

Test: bench_polysemous_sift1m - Polysemous 64

OpenBenchmarking.org metrics for this test profile configuration based on 42 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.

Component
Details
Percentile Rank
# Compatible Public Results
ms per query (Average)
Zen 4 [16 Cores / 32 Threads]
98th
3
4.11 +/- 0.02
Zen 4 [16 Cores / 32 Threads]
89th
4
4.30 +/- 0.19
Mid-Tier
75th
> 6.08
Zen 4 [192 Cores / 384 Threads]
65th
9
6.11 +/- 0.02
Median
50th
6.62
Tiger Lake [4 Cores / 8 Threads]
46th
3
6.67 +/- 0.08
Low-Tier
25th
> 7.39
Sapphire Rapids [120 Cores / 240 Threads]
22nd
6
7.40 +/- 0.04
Ice Lake [80 Cores / 160 Threads]
12th
3
8.45 +/- 0.01
Alder Lake [14 Cores / 20 Threads]
3rd
3
14.48 +/- 0.14