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

3 Minutes, 36 Seconds

Average Run Time

15 Minutes, 50 Seconds

Test Dependencies

Python

Accolades

20k+ Downloads

Supported Platforms

Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsNumenta Anomaly Benchmark Popularity Statisticspts/numenta-nab2018.112019.012019.032019.052019.072019.092019.112020.012020.032020.052020.072020.092020.112021.012021.032021.052021.072021.092021.112022.012022.032022.052022.072022.092022.112023.019001800270036004500
* 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 current as of 28 January 2023.
Windowed Gaussian20.7%EXPoSE10.3%Relative Entropy23.2%Earthgecko Skyline22.4%Bayesian Changepoint23.3%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

CPU Massive

Server CPU Tests

HPC - High Performance Computing

Python


Performance Metrics

Analyze Test Configuration:

Numenta Anomaly Benchmark 1.1

Detector: Bayesian Changepoint

OpenBenchmarking.org metrics for this test profile configuration based on 753 public results since 28 February 2020 with the latest data as of 26 January 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.

Component
Percentile Rank
# Compatible Public Results
Seconds (Average)
AMD Ryzen 9 7950X 16-Core
100th
4
15
AMD EPYC 9654 96-Core
99th
4
16
2 x AMD EPYC 9654 96-Core
96th
32
18 +/- 2
Intel Core i9-13900K
96th
3
18 +/- 1
Intel Xeon Platinum 8490H
94th
4
19 +/- 1
2 x Intel Xeon Platinum 8490H
94th
5
19 +/- 1
AMD Ryzen Threadripper 3960X 24-Core
92nd
5
22 +/- 3
AMD Ryzen 9 5950X 16-Core
90th
19
22 +/- 1
AMD Ryzen Threadripper 3970X 32-Core
89th
11
23 +/- 2
AMD Ryzen 9 5900X 12-Core
88th
15
23
AMD Ryzen Threadripper 3990X 64-Core
87th
13
24 +/- 2
AMD Ryzen 9 3950X 16-Core
84th
11
26
AMD EPYC 75F3 32-Core
83rd
3
26
2 x Intel Xeon Platinum 8380
82nd
5
27 +/- 4
2 x AMD EPYC 75F3 32-Core
82nd
4
27
Intel Core i7-12700K
81st
3
27 +/- 2
AMD Ryzen 9 3900XT 12-Core
80th
11
28
AMD Ryzen 7 5800X 8-Core
77th
6
29
AMD Ryzen 9 3900X 12-Core
76th
14
29 +/- 4
AMD EPYC 7F52 16-Core
76th
10
30 +/- 4
Mid-Tier
75th
> 30
2 x AMD EPYC 7713 64-Core
75th
5
30
2 x AMD EPYC 7763 64-Core
72nd
5
31
AMD EPYC 7713 64-Core
71st
4
31
AMD EPYC 7763 64-Core
70th
4
31
Intel Core i9-10980XE
68th
9
32 +/- 2
AMD Ryzen 7 3800XT 8-Core
67th
9
32 +/- 1
AMD EPYC 7742 64-Core
67th
6
32 +/- 1
AMD EPYC 7542 32-Core
66th
5
32 +/- 1
AMD Ryzen 5 5600X 6-Core
63rd
10
33 +/- 4
AMD EPYC 7532 32-Core
62nd
6
33 +/- 1
Intel Core i9-7980XE
62nd
3
33
AMD EPYC 7552 48-Core
59th
6
34 +/- 1
2 x Intel Xeon Gold 5220R
57th
12
34 +/- 1
AMD EPYC 7502P 32-Core
57th
7
34 +/- 5
Intel Core i9-10900K
56th
17
34 +/- 2
AMD Ryzen 9 5900HX
56th
3
35
AMD EPYC 7642 48-Core
55th
8
35 +/- 5
AMD Ryzen 7 3700X 8-Core
52nd
6
35 +/- 2
AMD EPYC 7402P 24-Core
51st
7
36 +/- 5
Median
50th
36
AMD EPYC 7282 16-Core
50th
6
36 +/- 1
AMD EPYC 7F32 8-Core
47th
10
37 +/- 4
Intel Core i7-1280P
47th
3
37 +/- 1
AMD Ryzen 5 3600X 6-Core
46th
6
37 +/- 1
AMD EPYC 7272 12-Core
46th
6
38 +/- 2
Apple M1
45th
3
38
2 x AMD EPYC 7601 32-Core
44th
4
39 +/- 1
Intel Xeon Gold 6226R
44th
9
39 +/- 5
AMD Ryzen 7 PRO 6850U
41st
3
41 +/- 1
Intel Core i9-9900KS
39th
9
42 +/- 2
AMD EPYC 7551 32-Core
37th
3
44 +/- 1
Intel Xeon Gold 5220R
37th
4
44 +/- 6
Intel Xeon E-2288G
37th
4
44 +/- 1
2 x AMD EPYC 7502 32-Core
37th
4
44 +/- 3
Intel Core i5-10600K
34th
11
45 +/- 2
2 x AMD EPYC 7252 8-Core
27th
3
49
Intel Core i7-8700K
26th
3
49 +/- 1
Ampere Altra ARMv8 Neoverse-N1 160-Core
26th
3
49
Low-Tier
25th
> 49
Intel Xeon Gold 5218
25th
5
50 +/- 6
AMD Ryzen 7 4700U
25th
3
50
Intel Core i7-1185G7
22nd
3
54
Intel Core i7-1165G7
21st
3
57 +/- 1
Intel Core i5-9400F
20th
3
57 +/- 7
Intel Core i7-10700T
20th
3
59 +/- 2
Intel Xeon E5-1680 v3
18th
3
62 +/- 3
Intel Core i7-5960X
17th
7
64 +/- 1
AMD Ryzen 5 4500U
15th
3
67
Intel Xeon E3-1270 v5
14th
3
70
POWER9 44-Core
14th
6
71 +/- 1
Intel Xeon E3-1280 v5
13th
3
74 +/- 1
Intel Core i7-4960X
12th
3
75
Intel Core i3-10100
11th
6
78 +/- 10
Intel Core i7-8565U
10th
4
85 +/- 2
Intel Xeon E3-1260L v5
10th
3
85
Intel Core i5-7600K
9th
3
86
AMD Ryzen 7 4800U
8th
4
92 +/- 1
Intel Core i7-9700TE
7th
4
97
Intel Pentium Gold G6400
4th
4
140
Intel Core i3-7100
4th
3
144
Intel Celeron G5900
3rd
4
209 +/- 1
OpenBenchmarking.orgDistribution Of Public Results - Detector: Bayesian Changepoint750 Results Range From 14 To 1732 Seconds145596137178219260301342383424465506547588629670711752793834875916957998103910801121116212031244128513261367140814491490153115721613165416951736130260390520650

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: 3.08 / Max: 32

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.6%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsDetector: Bayesian ChangepointDeviation246810Min: 0 / Avg: 0.62 / Max: 3

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 Changepoint246812161832640.82711.65422.48133.30844.1355

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 Neoverse-N1, ARMv8 rev 0 8-Core, Ampere Altra ARMv8 Neoverse-N1 160-Core

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OpenBenchmarking.org Results Compare

3 Systems - 211 Benchmark Results

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2 Systems - 89 Benchmark Results

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Debian 11 - 5.10.0-20-amd64 - X Server 1.20.11

1 System - 89 Benchmark Results

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ManjaroLinux 22.0.0 - 5.15.85-1-MANJARO - Xfce 4.18

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ARMv8 Neoverse-N1 - QEMU KVM Virtual Machine - Red Hat QEMU PCIe

Ubuntu 22.04 - 5.15.0-1025-oracle - GCC 11.3.0

6 Systems - 110 Benchmark Results

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Clear Linux OS 37930 - 6.1.1-1229.native - X Server

5 Systems - 133 Benchmark Results

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CentOS Stream 9 - 5.14.0-214.el9.x86_64 - GNOME Shell 40.10

4 Systems - 133 Benchmark Results

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Ubuntu 22.10 - 5.19.0-26-generic - GNOME Shell 43.0

3 Systems - 133 Benchmark Results

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

CentOS Stream 9 - 5.14.0-214.el9.x86_64 - GNOME Shell 40.10

2 Systems - 361 Benchmark Results

AMD Ryzen Threadripper 3960X 24-Core - MSI Creator TRX40 - AMD Starship

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2 Systems - 133 Benchmark Results

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Ubuntu 22.10 - 5.19.0-26-generic - GNOME Shell 43.0

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2 x AMD EPYC 7773X 64-Core - AMD DAYTONA_X - AMD Starship

Ubuntu 20.04 - 6.1.0-rc8-phx - X Server

4 Systems - 82 Benchmark Results

AMD Ryzen 7 4800U - ASRock 4X4-4000 - AMD Renoir

Ubuntu 22.04 - 5.19.0-rc6-phx-retbleed - GNOME Shell 42.2

3 Systems - 110 Benchmark Results

Intel Core i7-10700T - Logic Supply RXM-181 - Intel Comet Lake PCH

Ubuntu 22.04 - 5.15.0-52-generic - GNOME Shell 42.2

1 System - 29 Benchmark Results

AMD Ryzen 9 5950X 16-Core - MSI MEG X570 GODLIKE - AMD Starship

Gentoo 2.9 - 6.1.0-gentoo-harambe-edition - KDE Plasma 5.26.4

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11 Systems - 217 Benchmark Results

AMD Ryzen 5 2600X Six-Core - ASUS ROG CROSSHAIR VIII HERO - AMD 17h

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

12 Systems - 593 Benchmark Results

AMD Ryzen 9 5900X 12-Core - ASRock X570 Taichi - AMD Starship

Fedora 33 - 5.8.16-300.fc33.x86_64 - GNOME Shell 3.38.1

12 Systems - 229 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

26 Systems - 438 Benchmark Results

AMD EPYC 75F3 32-Core - AMD DAYTONA_X - AMD Starship

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

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

3 Systems - 301 Benchmark Results

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

Ubuntu 20.04 - 5.4.0-40-generic - GNOME Shell 3.36.3

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AMD Ryzen 5 5600X 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 i7-5775C - CompuLab v1.0 - Intel Broadwell-U DMI

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2 Systems - 85 Benchmark Results

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

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5 Systems - 259 Benchmark Results

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