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 20 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

Time To Completion

OpenBenchmarking.org metrics for this test profile configuration based on 40 public results since 15 October 2020 with the latest data as of 19 July 2023.

Additional benchmark metrics will come after OpenBenchmarking.org has collected a sufficient data-set.

OpenBenchmarking.orgDistribution Of Public Results - Time To Completion40 Results Range From 268 To 6657 Seconds268396524652780908103611641292142015481676180419322060218823162444257227002828295630843212334034683596372438523980410842364364449246204748487650045132526053885516564457725900602861566284641265406668246810

Based on OpenBenchmarking.org data, the selected test / test configuration (Numenta Anomaly Benchmark 1.1 - Time To Completion) has an average run-time of 1 hour, 17 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 BenchmarkTime To CompletionRun-Time4080120160200Min: 13 / Avg: 76.82 / Max: 220

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.4%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsTime To CompletionDeviation246810Min: 0 / Avg: 0.42 / Max: 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.

CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
ARMv8 64-bit
aarch64
ARMv8 Cortex-A55 4-Core, ARMv8 Neoverse-N1 4-Core, ARMv8 Neoverse-V1 4-Core

Recent Test Results

OpenBenchmarking.org Results Compare

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

3 Systems - 141 Benchmark Results

Intel Xeon Gold 6148 - Supermicro X11SPW-TF v1.03 - Intel Sky Lake-E DMI3 Registers

Ubuntu 22.04 - 5.15.0-112-generic - X Server

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