AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library.

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

Project Site

ai-benchmark.com

Test Created

8 July 2020

Last Updated

11 November 2020

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

2 Minutes, 12 Seconds

Average Run Time

21 Minutes, 38 Seconds

Test Dependencies

Python

Accolades

10k+ Downloads

Supported Platforms


Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsAI Benchmark Alpha Popularity Statisticspts/ai-benchmark2020.072020.082020.092020.102020.112020.122021.012021.022004006008001000
* 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 current as of Fri, 26 Feb 2021 12:04:24 GMT.

Revision History

pts/ai-benchmark-1.0.1   [View Source]   Wed, 11 Nov 2020 18:43:35 GMT
Fix for macOS support.

pts/ai-benchmark-1.0.0   [View Source]   Wed, 08 Jul 2020 14:25:53 GMT
Initial commit of AI Benchmark Alpha.

Suites Using This Test

Machine Learning

HPC - High Performance Computing


Performance Metrics

Analyze Test Configuration:

AI Benchmark Alpha 0.1.2

Device AI Score

OpenBenchmarking.org metrics for this test profile configuration based on 868 public results since 8 July 2020 with the latest data as of 26 February 2021.

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
# Matching Public Results
Score (Average)
99th
4
3616 +/- 148
95th
18
3527 +/- 68
92nd
3
3429 +/- 130
92nd
15
3428 +/- 184
91st
16
3386 +/- 212
91st
16
3380 +/- 100
90th
5
3337 +/- 170
89th
9
3327 +/- 119
88th
7
3261 +/- 182
87th
7
3202 +/- 133
87th
6
3193 +/- 359
86th
7
3180 +/- 231
83rd
8
3116 +/- 146
80th
8
3055 +/- 139
79th
11
3019 +/- 226
77th
15
2977 +/- 152
Mid-Tier
75th
< 2922
75th
10
2921 +/- 400
73rd
30
2895 +/- 142
72nd
5
2830 +/- 143
71st
14
2802 +/- 84
70th
7
2744 +/- 121
66th
3
2676 +/- 326
65th
7
2655 +/- 149
64th
5
2617 +/- 155
61st
8
2579 +/- 10
60th
10
2553 +/- 106
60th
5
2543 +/- 124
59th
7
2532 +/- 300
58th
8
2473 +/- 14
56th
7
2437 +/- 19
54th
9
2389 +/- 11
53rd
21
2368 +/- 144
51st
11
2329 +/- 109
Median
50th
2307
50th
13
2303 +/- 12
47th
13
2227 +/- 12
44th
10
2207 +/- 77
41st
4
2144 +/- 12
41st
5
2143 +/- 272
41st
3
2137 +/- 10
41st
16
2124 +/- 91
40th
4
2084 +/- 4
40th
3
2083 +/- 56
39th
10
2004 +/- 52
28th
3
1856 +/- 113
27th
3
1742 +/- 21
27th
3
1741 +/- 6
26th
4
1716 +/- 12
26th
4
1699 +/- 3
Low-Tier
25th
< 1661
24th
9
1622 +/- 42
24th
5
1602 +/- 7
23rd
4
1549 +/- 9
15th
6
1429 +/- 2
15th
3
1408 +/- 5
14th
6
1394 +/- 3
13th
6
1386 +/- 4
13th
4
1381 +/- 18
12th
4
1353 +/- 17
11th
3
1324 +/- 11
10th
19
1282 +/- 34
7th
13
1229 +/- 76
7th
4
1202 +/- 12
6th
3
1164 +/- 8
5th
6
1132 +/- 4
4th
12
1006 +/- 45
3rd
4
905 +/- 21
3rd
3
884 +/- 1
OpenBenchmarking.orgDistribution Of Public Results - Device AI Score861 Results Range From 249 To 4007 Score2493254014775536297057818579331009108511611237131313891465154116171693176918451921199720732149222523012377245325292605268127572833290929853061313732133289336534413517359336693745382138973973404920406080100

Based on OpenBenchmarking.org data, the selected test / test configuration (AI Benchmark Alpha 0.1.2 - Device AI Score) has an average run-time of 21 minutes. By default this test profile is set to run at least 1 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 BenchmarkDevice AI ScoreRun-Time714212835Min: 17 / Avg: 20.94 / Max: 32

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.

AMDIntelOpenBenchmarking.orgRelative Core Scaling To BaseAI Benchmark Alpha CPU Core ScalingDevice AI Score4681216243248641.08962.17923.26884.35845.448

Recent Test Results

OpenBenchmarking.org Results Compare

1 System - 3 Benchmark Results

AMD Ryzen 9 5900X 12-Core - MSI MAG X570 TOMAHAWK WIFI - AMD Starship

ManjaroLinux 20.2.1 - 5.9.16-1-MANJARO - X Server 1.20.10

1 System - 3 Benchmark Results

AMD Ryzen 9 3900XT 12-Core - ASUS ROG CROSSHAIR VIII HERO - 126GB

Ubuntu 20.04.1 LTS - 5.4.0-65-generic - NVIDIA

1 System - 3 Benchmark Results

AMD Ryzen 9 3900X 12-Core - ASUS Pro WS X570-ACE - AMD Starship

Ubuntu 20.10 - 5.11.0-051100-lowlatency - GNOME Shell 3.38.2

1 System - 3 Benchmark Results

AMD Ryzen 9 3900X 12-Core - ASUS Pro WS X570-ACE - AMD Starship

Ubuntu 20.10 - 5.11.0-051100-lowlatency - GNOME Shell 3.38.2

1 System - 3 Benchmark Results

Intel Core i7-10750H - LENOVO 20TRS12500 - Intel Comet Lake PCH

Ubuntu 20.04 - 5.8.0-43-generic - GNOME Shell 3.36.4

1 System - 3 Benchmark Results

1 System - 3 Benchmark Results

AMD Ryzen 9 3900X 12-Core - ASUS Pro WS X570-ACE - AMD Starship

Ubuntu 20.10 - 5.11.0-051100-generic - GNOME Shell 3.38.2

1 System - 3 Benchmark Results

Intel Core i9-10900X - Gigabyte X299X DESIGNARE 10G - Intel Sky Lake-E DMI3 Registers

Ubuntu 20.10 - 5.8.0-43-generic - X Server 1.20.9

8 Systems - 84 Benchmark Results

Intel Xeon E-2288G - Compulab SBC-ATCFL v1.2 - Intel Cannon Lake PCH

Ubuntu 20.10 - 5.8.0-26-generic - GNOME Shell 3.38.1

2 Systems - 151 Benchmark Results

Intel Xeon E-2278GEL - Logic Supply RXM-181 - Intel Cannon Lake PCH

Ubuntu 20.10 - 5.8.0-41-generic - GNOME Shell 3.38.2

1 System - 3 Benchmark Results

AMD Ryzen 7 5800X 8-Core - ASUS TUF GAMING B550M-PLUS - AMD Starship

Ubuntu 20.04 - 5.8.0-43-generic - GNOME Shell 3.36.4

3 Systems - 330 Benchmark Results

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

Ubuntu 20.10 - 5.8.0-41-generic - GNOME Shell 3.38.2

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