Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark numenta-nab.

Project Site

github.com

Source Repository

github.com

Test Created

9 November 2018

Last Updated

14 December 2022

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

58 Seconds

Average Run Time

18 Minutes, 10 Seconds

Test Dependencies

Python

Accolades

60k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsNumenta Anomaly Benchmark Popularity Statisticspts/numenta-nab2018.112019.012019.032019.052019.072019.092019.112020.012020.032020.052020.072020.092020.112021.012021.032021.052021.072021.092021.112022.012022.032022.052022.072022.092022.112023.012023.032023.052023.072023.092023.112024.012024.032024.052024.072024.092024.114K8K12K16K20K
* 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 25 November 2024.
KNN CAD6.8%Contextual Anomaly Detector OSE6.7%Windowed Gaussian18.1%EXPoSE7.0%Relative Entropy20.4%Earthgecko Skyline20.5%Bayesian Changepoint20.6%Detector Option PopularityOpenBenchmarking.org

Revision History

pts/numenta-nab-1.1.1   [View Source]   Wed, 14 Dec 2022 14:04:05 GMT
Fixes for running on modern Linux distributions.

pts/numenta-nab-1.1.0   [View Source]   Fri, 28 Feb 2020 12:04:17 GMT
Update against NAB 1.1 upstream for Python 3 compatibility.

pts/numenta-nab-1.0.0   [View Source]   Fri, 09 Nov 2018 11:55:56 GMT
Initial commit of Numenta Anomaly Benchmark

Suites Using This Test

Machine Learning

HPC - High Performance Computing

CPU Massive

Server CPU Tests

Python


Performance Metrics

Analyze Test Configuration:

Numenta Anomaly Benchmark 1.1

Detector: Bayesian Changepoint

OpenBenchmarking.org metrics for this test profile configuration based on 731 public results since 28 February 2020 with the latest data as of 5 November 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
Percentile Rank
# Compatible Public Results
Seconds (Average)
Mid-Tier
75th
> 26
Median
50th
34
49th
16
34 +/- 2
40th
3
37 +/- 1
38th
3
38
31st
4
44 +/- 1
29th
10
45 +/- 2
27th
3
49 +/- 1
Low-Tier
25th
> 51
23rd
3
57 +/- 7
21st
3
61 +/- 6
21st
4
62 +/- 1
20th
7
64 +/- 1
17th
6
71 +/- 1
12th
4
85 +/- 2
10th
4
92 +/- 1
4th
4
209 +/- 1
OpenBenchmarking.orgDistribution Of Public Results - Detector: Bayesian Changepoint731 Results Range From 10 To 1732 Seconds105192133174215256297338379420461502543584625666707748789830871912953994103510761117115811991240128113221363140414451486152715681609165016911732120240360480600

Based on OpenBenchmarking.org data, the selected test / test configuration (Numenta Anomaly Benchmark 1.1 - Detector: Bayesian Changepoint) has an average run-time of 4 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.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkDetector: Bayesian ChangepointRun-Time714212835Min: 1 / Avg: 3.41 / Max: 32

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.7%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsDetector: Bayesian ChangepointDeviation246810Min: 0 / Avg: 0.74 / Max: 4

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.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseNumenta Anomaly Benchmark CPU Core ScalingDetector: Bayesian Changepoint24681216182432641281.00832.01663.02494.03325.0415

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.

CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
IBM POWER (PowerPC) 64-bit
ppc64le
POWER9 44-Core
ARMv7 32-bit
armv7l
ARMv7 Cortex-A53 4-Core, ARMv7 Cortex-A72 4-Core
ARMv8 64-bit
arm64
Apple M1
ARMv8 64-bit
aarch64
ARMv8 Cortex-A76 4-Core, ARMv8 Cortex-A78E 6-Core, ARMv8 Neoverse-N1, ARMv8 rev 0 8-Core, Ampere Altra ARMv8 Neoverse-N1 160-Core, Rockchip ARMv8 Cortex-A76 6-Core

Recent Test Results

OpenBenchmarking.org Results Compare

1 System - 323 Benchmark Results

AMD Ryzen Threadripper 7960X 24-Cores - Gigabyte TRX50 AERO D - AMD Device 14a4

Ubuntu 24.04 - 6.8.0-48-generic - GNOME Shell 46.0

1 System - 14 Benchmark Results

AMD Ryzen 9 5900X 12-Core - ASRock X570 Phantom Gaming 4 - AMD Starship

Fedora 41 - 6.11.5-300.fc41.x86_64 - Cinnamon 6.2.9

2 Systems - 541 Benchmark Results

ARMv8 Cortex-A76 - Raspberry Pi 5 Model B Rev 1.0 - Broadcom BCM2712

Ubuntu 24.04 - 6.8.0-1012-raspi - KDE Plasma 5.27.11

2 Systems - 525 Benchmark Results

ARMv8 Cortex-A76 - Raspberry Pi 5 Model B Rev 1.0 - Broadcom BCM2712

Ubuntu 24.04 - 6.8.0-1012-raspi - KDE Plasma 5.27.11

1 System - 342 Benchmark Results

Intel Core i9-12900K - ASUS PRIME Z790-V AX - Intel Raptor Lake-S PCH

Ubuntu 24.04 - 6.8.0-47-generic - GNOME Shell 46.0

1 System - 150 Benchmark Results

2 x Montage Jintide C6230R - H3C UniServer R4700 G3 RS33M2C3S - 384GB

Ubuntu 20.04.6 LTS - 6.8.0-47-generic - GCC 9.4.0

1 System - 495 Benchmark Results

2 Systems - 195 Benchmark Results

2 Systems - 195 Benchmark Results

2 Systems - 195 Benchmark Results

Most Popular Test Results

OpenBenchmarking.org Results Compare

1 System - 115 Benchmark Results

AMD Ryzen 9 5900HX - System76 Kudu - AMD Renoir

Pop 21.10 - 5.15.15-76051515-generic - GNOME Shell 40.5

1 System - 69 Benchmark Results

Apple M1 Max - Apple MacBook Pro - 64GB

macOS 12.1 - 21.2.0 - OpenCL 1.2

11 Systems - 217 Benchmark Results

AMD Ryzen 9 3900X 12-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 20.04 - 5.9.0-050900-generic - GNOME Shell 3.36.4

12 Systems - 593 Benchmark Results

Intel Core i5-10600K - ASUS PRIME Z490M-PLUS - Intel Comet Lake PCH

Ubuntu 20.04 - 5.8.0-050800daily20200622-generic - GNOME Shell 3.36.2

6 Systems - 100 Benchmark Results

AMD Ryzen 9 3900XT 12-Core - MSI MEG X570 GODLIKE - AMD Starship

Ubuntu 20.04 - 5.8.0-050800daily20200622-generic - GNOME Shell 3.36.2

12 Systems - 229 Benchmark Results

AMD Ryzen 5 3600X 6-Core - ASUS ROG CROSSHAIR VIII HERO - AMD Starship

Ubuntu 20.04 - 5.9.0-050900-generic - GNOME Shell 3.36.4

4 Systems - 513 Benchmark Results

Intel Core i7-9700TE - C OZE GM-1000 v0.0.01.001 - Intel Cannon Lake PCH

Ubuntu 20.10 - 5.8.0-25-generic - GNOME Shell 3.38.1

5 Systems - 396 Benchmark Results

AMD Ryzen 9 7950X3D 16-Core - ASUS ROG CROSSHAIR X670E HERO - AMD Device 14d8

Ubuntu 23.04 - 6.2.0-060200rc8daily20230213-generic - GNOME Shell 43.2

2 Systems - 85 Benchmark Results

Intel Core i7-10510U - LENOVO 20U9CTO1WW - Intel Comet Lake PCH-LP

Fedora 33 - 5.9.16-200.fc33.x86_64 - KDE Plasma 5.20.4

26 Systems - 438 Benchmark Results

AMD EPYC 7F52 16-Core - Supermicro H11DSi-NT v2.00 - AMD Starship

Ubuntu 20.04 - 5.11.0-051100rc6daily20210201-generic - GNOME Shell 3.36.4

11 Systems - 229 Benchmark Results

Intel Core i5-10600K - Gigabyte Z490 AORUS MASTER - Intel Comet Lake PCH

Ubuntu 20.04 - 5.9.0-050900-generic - GNOME Shell 3.36.4

2 Systems - 135 Benchmark Results

2 x AMD EPYC 9654 96-Core - AMD Titanite_4G - AMD Device 14a4

Ubuntu 22.10 - 6.1.0-phx - GNOME Shell 43.0

2 Systems - 475 Benchmark Results

AMD Ryzen Threadripper 3970X 32-Core - ASUS ROG ZENITH II EXTREME - AMD Starship

Ubuntu 19.10 - 5.3.0-40-generic - GNOME Shell 3.34.1

2 Systems - 1708 Benchmark Results

Intel Core i3-10100 - ASUS PRIME Z490M-PLUS - Intel Comet Lake PCH

Ubuntu 20.04 - 5.7.0-rc6-amd-energy - GNOME Shell 3.36.2

Find More Test Results