AMD P-State Linux Driver vs. CPUFreq Testing

Tests for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2111227-TJ-AMDPSTATE45
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Additional Graphs

Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
acpi-cpufreq ondemand
November 21 2021
  4 Hours, 39 Minutes
acpi-cpufreq performance
November 21 2021
  4 Hours, 37 Minutes
acpi-cpufreq powersave
November 21 2021
  8 Hours, 15 Minutes
acpi-cpufreq schedutil
November 19 2021
  4 Hours, 46 Minutes
amd-pstate ondemand
November 22 2021
  4 Hours, 43 Minutes
amd-pstate performance
November 20 2021
  4 Hours, 49 Minutes
amd-pstate powersave
November 22 2021
  10 Hours, 3 Minutes
amd-pstate schedutil
November 19 2021
  5 Hours, 4 Minutes
Invert Behavior (Only Show Selected Data)
  5 Hours, 52 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


AMD P-State Linux Driver vs. CPUFreq TestingOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 5500U @ 2.10GHz (6 Cores / 12 Threads)AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads)LENOVO LNVNB161216 (GLCN22WW BIOS)AMD Renoir Root Complex6GB256GB SAMSUNG MZALQ256HBJD-00BL2AMD Lucienne 2GB (1800/400MHz)AMD Renoir Radeon HD AudioQualcomm Atheros QCA6174 802.11acUbuntu 21.045.15.0-pstate4 (x86_64)GNOME Shell 3.38.4X Server 1.20.11 + Wayland4.6 Mesa 22.0.0-devel (git-9d9de15 2021-11-15 hirsute-oibaf-ppa) (LLVM 13.0.0 DRM 3.42 5.15.0-pstate4)1.2.197GCC 10.3.0ext41920x1080ProcessorsMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionAMD P-State Linux Driver Vs. CPUFreq Testing BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - acpi-cpufreq ondemand: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8608102- acpi-cpufreq performance: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8608102- acpi-cpufreq powersave: Scaling Governor: acpi-cpufreq powersave (Boost: Enabled) - CPU Microcode: 0x8608102- acpi-cpufreq schedutil: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8608102- amd-pstate ondemand: Scaling Governor: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0x8608102- amd-pstate performance: Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0x8608102- amd-pstate powersave: Scaling Governor: amd-pstate powersave (Boost: Enabled) - CPU Microcode: 0x8608102- amd-pstate schedutil: Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0x8608102- GLAMOR - BAR1 / Visible vRAM Size: 2048 MB- Python 3.9.5- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

acpi-cpufreq ondemandacpi-cpufreq performanceacpi-cpufreq powersaveacpi-cpufreq schedutilamd-pstate ondemandamd-pstate performanceamd-pstate powersaveamd-pstate schedutilResult OverviewPhoronix Test Suite100%167%235%302%369%simdjsonLAME MP3 EncodingRNNoiseFLAC Audio EncodingTNNGitHuginSeleniumNode.js V8 Web Tooling BenchmarkOCRMyPDFASTC EncoderSVT-AV1RawTherapeeBlenderAppleseedSVT-HEVCTimed Linux Kernel CompilationSVT-VP9Timed Wasmer CompilationTimed Godot Game Engine CompilationZstd CompressionTimed Mesa CompilationET: LegacyUnvanquishedNCNNyquake2XonoticDDraceNetworkDeepSpeechTesseractBasemark GPU

acpi-cpufreq ondemandacpi-cpufreq performanceacpi-cpufreq powersaveacpi-cpufreq schedutilamd-pstate ondemandamd-pstate performanceamd-pstate powersaveamd-pstate schedutilPer Watt Result OverviewPhoronix Test Suite100%114%128%142%157%yquake2simdjsonSVT-VP9Zstd CompressionSVT-AV1SeleniumSVT-HEVCNode.js V8 Web Tooling BenchmarkUnvanquishedET: LegacyXonoticTesseractBasemark GPUP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

AMD P-State Linux Driver vs. CPUFreq Testingsimdjson: PartialTweetssimdjson: DistinctUserIDtnn: CPU - SqueezeNet v2encode-mp3: WAV To MP3rnnoise: encode-flac: WAV To FLACtnn: CPU - DenseNetgit: Time To Complete Common Git Commandsddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - Multeasymapselenium: Jetstream 2 - Google Chromehugin: Panorama Photo Assistant + Stitching Timenode-web-tooling: ocrmypdf: Processing 60 Page PDF Documentselenium: StyleBench - Google Chromeselenium: Speedometer - Google Chromeastcenc: Thoroughncnn: CPU - blazefacesvt-av1: Preset 8 - Bosphorus 1080pastcenc: Exhaustivencnn: CPU - regnety_400mcompress-zstd: 19 - Decompression Speedrawtherapee: Total Benchmark Timeblender: BMW27 - CPU-Onlysvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080pncnn: CPU - shufflenet-v2svt-vp9: Visual Quality Optimized - Bosphorus 1080pappleseed: Emilybuild-linux-kernel: Time To Compilesvt-hevc: 10 - Bosphorus 1080punvanquished: 1920 x 1080 - Mediumunvanquished: 1920 x 1080 - Highncnn: CPU - squeezenet_ssdbuild-wasmer: Time To Compilebuild-godot: Time To Compilesvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pncnn: CPU - mnasnetcompress-zstd: 19, Long Mode - Compression Speedbuild-mesa: Time To Compileetlegacy: 1920 x 1080ncnn: CPU - efficientnet-b0xonotic: 1920 x 1080 - Highyquake2: Vulkan - 1920 x 1080ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - googlenetncnn: CPU - yolov4-tinyncnn: CPU - mobilenetxonotic: 1920 x 1080 - Ultrancnn: CPU-v2-v2 - mobilenet-v2unvanquished: 1920 x 1080 - Ultracompress-zstd: 19 - Compression Speedncnn: CPU - resnet50ncnn: CPU - resnet18deepspeech: CPUncnn: CPU - alexnetxonotic: 1920 x 1080 - Ultimatencnn: CPU - vgg16basemark: OpenGL - 1920 x 1080 - Mediumtesseract: 1920 x 1080ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - RaiNyMore2basemark: Vulkan - 1920 x 1080 - Mediumacpi-cpufreq ondemandacpi-cpufreq performanceacpi-cpufreq powersaveacpi-cpufreq schedutilamd-pstate ondemandamd-pstate performanceamd-pstate powersaveamd-pstate schedutil3.754.1472.0257.94419.36315.6533451.95952.962357.76149.58158.8859.5328.58736.315314.84141.9631.989147.529611.522438.585.134299.759.16665.105.1382.19719.154308158.925132.02179.9171.331.44115.527239.28599.655.7114.495.914215.410.27206.2768928948.46.6123.6042.6427.89177.99961337.76143.716.344.0223.5676.3507717.64138.9835474106.8295.81148.3820401.24121.133.784.1671.8427.81219.34515.5573432.50352.831365.82157.73259.1669.7228.53435.9156.014.82881.9732.796147.351811.492437.684.620300.059.29765.075.1182.44715.248885157.921133.25195.7188.231.27115.271238.411100.135.6914.495.468220.910.23213.0259244964.66.6323.6742.2927.91185.25252217.77149.916.443.8223.6473.2368417.86142.7095968106.87100.97148.5359372.90120.491.301.44208.32722.54255.73643.9509353.613140.105150.3760.016152.9253.9968.44814.7964.5934.75984.5814.986316.500125.361108.4175.435603.784.60633.0210.3942.271392.13243295.39171.56104.2102.258.09209.460426.95155.8310.297.95165.667127.517.31130.4089390619.610.6837.7867.4344.06119.464485012.08100.810.766.2235.05105.8697426.18100.8936261123.0188.16139.6744405.22111.123.754.1572.1587.81419.32215.6363426.62952.792368.05138.00358.8719.5128.31736.115014.85281.9632.018147.614811.492440.885.439300.589.27764.895.0982.47715.499711158.394132.71192.4184.231.37115.413239.39899.805.6914.495.707219.910.22212.8182090963.56.5623.6042.6627.95183.39311887.74144.816.343.6623.5387.0503417.68142.3494492106.8887.82148.6307376.89118.273.774.1772.0087.82719.39015.7883497.26653.145293.52142.60059.5929.2828.73733.814514.78941.9829.534147.146911.492434.585.819298.939.01364.875.1279.50718.979898159.478131.66125.1122.931.18115.263239.67296.595.7514.396.050208.510.32200.6553454889.76.5723.7242.5727.89176.00088127.76120.016.243.7223.6680.4129417.90138.0578116107.2889.00149.6568402.81119.713.764.1672.0947.80919.36115.6063426.67652.873398.00157.43659.3529.8028.49135.9156.414.91681.9832.887147.490211.522437.885.049298.479.30364.175.1082.59715.952901157.965129.42198.3190.631.34115.332240.38499.715.7214.495.722222.410.24213.9520809964.56.5623.5642.5527.99183.84945327.75149.216.443.7623.5372.4620417.72142.7061779106.7198.76149.5158376.72118.591.021.13264.91928.69770.98455.85811825.508176.893120.1247.629192.3623.1787.18211.8551.3944.20105.7211.988402.382631.38904.6218.365761.733.66226.3112.5633.911740.496843366.43057.7586.184.969.16254.576526.55545.4912.46.69201.652105.820.37109.0783799493.612.4444.4279.1651.68100.165669713.9383.39.1976.3340.47123.6561129.9585.7106185132.8983.14129.1537407.01117.273.754.1571.9717.82319.34915.6723528.57952.871258.24122.73059.1379.4028.55035.814314.97401.9728.700147.837711.542431.585.358299.599.09464.985.1081.86716.485499158.573132.33130.2120.031.53115.828239.39799.555.7514.495.759221.510.31212.9293497959.66.6423.5742.7428.28184.79582197.82120.116.343.9923.6598.8702017.92142.3666026107.3084.31146.2756378.90111.64OpenBenchmarking.org

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 1.0Throughput Test: PartialTweetsamd-pstate powersaveacpi-cpufreq powersaveacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate schedutilamd-pstate performanceamd-pstate ondemandacpi-cpufreq performance0.85051.7012.55153.4024.2525SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 31.021.303.753.753.753.763.773.781. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 1.0Throughput Test: DistinctUserIDamd-pstate powersaveacpi-cpufreq powersaveacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate schedutilacpi-cpufreq performanceamd-pstate performanceamd-pstate ondemand0.93831.87662.81493.75324.6915SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.131.444.144.154.154.164.164.171. (CXX) g++ options: -O3 -pthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2amd-pstate powersaveacpi-cpufreq powersaveacpi-cpufreq schedutilamd-pstate performanceacpi-cpufreq ondemandamd-pstate ondemandamd-pstate schedutilacpi-cpufreq performance60120180240300SE +/- 0.76, N = 3SE +/- 0.41, N = 4SE +/- 0.10, N = 7SE +/- 0.12, N = 7SE +/- 0.16, N = 7SE +/- 0.11, N = 7SE +/- 0.14, N = 7SE +/- 0.09, N = 7264.92208.3372.1672.0972.0372.0171.9771.84MIN: 261.64 / MAX: 268.63MIN: 206.45 / MAX: 213.21MIN: 71.36 / MAX: 73.24MIN: 71.26 / MAX: 75.92MIN: 71.19 / MAX: 73.48MIN: 71.19 / MAX: 72.93MIN: 71.18 / MAX: 73.47MIN: 71.06 / MAX: 73.061. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3amd-pstate powersaveacpi-cpufreq powersaveacpi-cpufreq ondemandamd-pstate ondemandamd-pstate schedutilacpi-cpufreq schedutilacpi-cpufreq performanceamd-pstate performance714212835SE +/- 0.012, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 6SE +/- 0.006, N = 6SE +/- 0.005, N = 6SE +/- 0.002, N = 6SE +/- 0.002, N = 6SE +/- 0.004, N = 628.69722.5427.9447.8277.8237.8147.8127.8091. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28amd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandamd-pstate performanceamd-pstate schedutilacpi-cpufreq performanceacpi-cpufreq schedutil1632486480SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 370.9855.7419.3919.3619.3619.3519.3519.321. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC format ten times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.3WAV To FLACamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate performanceacpi-cpufreq performance1326395265SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.03, N = 555.8643.9515.7915.6715.6515.6415.6115.561. (CXX) g++ options: -fvisibility=hidden -logg -lm

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq performanceamd-pstate performanceacpi-cpufreq schedutil3K6K9K12K15KSE +/- 1.23, N = 3SE +/- 4.11, N = 3SE +/- 4.37, N = 3SE +/- 1.50, N = 3SE +/- 0.75, N = 3SE +/- 1.41, N = 3SE +/- 2.24, N = 3SE +/- 2.05, N = 311825.519353.613528.583497.273451.963432.503426.683426.63MIN: 11636.25 / MAX: 12033.37MIN: 9192.42 / MAX: 9529.57MIN: 3466.42 / MAX: 3605.75MIN: 3424.42 / MAX: 3582.31MIN: 3380.15 / MAX: 3532.28MIN: 3368.51 / MAX: 3510.57MIN: 3364.54 / MAX: 3501.99MIN: 3363.01 / MAX: 3497.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commandsamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandamd-pstate performanceamd-pstate schedutilacpi-cpufreq performanceacpi-cpufreq schedutil4080120160200SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3176.89140.1153.1552.9652.8752.8752.8352.791. git version 2.30.2

DDraceNetwork

This is a test of DDraceNetwork, an open-source cooperative platformer. OpenGL 3.3 is used for rendering, with fallbacks for older OpenGL versions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterDDraceNetwork 15.3.1Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymapamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq performanceacpi-cpufreq schedutilamd-pstate performance90180270360450SE +/- 0.49, N = 3SE +/- 1.60, N = 3SE +/- 1.92, N = 3SE +/- 1.44, N = 3SE +/- 2.79, N = 3SE +/- 1.60, N = 3SE +/- 2.80, N = 3SE +/- 3.30, N = 8120.12150.37258.24293.52357.76365.82368.05398.001. (CXX) g++ options: -O3 -lrt -pthread -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chromeamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq schedutilamd-pstate ondemandacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq performance306090120150SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.16, N = 3SE +/- 0.53, N = 3SE +/- 0.60, N = 3SE +/- 0.22, N = 3SE +/- 0.46, N = 347.6360.02122.73138.00142.60149.58157.44157.731. chrome 96.0.4664.45

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Timeamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate performanceacpi-cpufreq performanceamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq schedutil4080120160200SE +/- 0.67, N = 3SE +/- 1.15, N = 3SE +/- 0.07, N = 3SE +/- 0.68, N = 3SE +/- 0.72, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.34, N = 3192.36152.9359.5959.3559.1759.1458.8958.87

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmarkamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq schedutilacpi-cpufreq ondemandacpi-cpufreq performanceamd-pstate performance3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 33.173.999.289.409.519.539.729.80

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF Documentamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandamd-pstate schedutilacpi-cpufreq performanceamd-pstate performanceacpi-cpufreq schedutil20406080100SE +/- 0.16, N = 3SE +/- 0.25, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 387.1868.4528.7428.5928.5528.5328.4928.32

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google Chromeamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq performanceamd-pstate performanceacpi-cpufreq schedutilacpi-cpufreq ondemand816243240SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 311.8514.7933.8035.8035.9035.9036.1036.301. chrome 96.0.4664.45

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google Chromeamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandacpi-cpufreq schedutilacpi-cpufreq ondemandacpi-cpufreq performanceamd-pstate performance306090120150SE +/- 0.12, N = 3SE +/- 0.21, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.81, N = 351.3964.59143.00145.00150.00153.00156.00156.401. chrome 96.0.4664.45

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: Thoroughamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate performanceacpi-cpufreq schedutilacpi-cpufreq ondemandacpi-cpufreq performanceamd-pstate ondemand1020304050SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 344.2034.7614.9714.9214.8514.8414.8314.791. (CXX) g++ options: -O3 -flto -pthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefaceamd-pstate powersaveacpi-cpufreq powersaveamd-pstate performanceamd-pstate ondemandamd-pstate schedutilacpi-cpufreq performanceacpi-cpufreq schedutilacpi-cpufreq ondemand1.2872.5743.8615.1486.435SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 35.724.581.981.981.971.971.961.96MIN: 5.61 / MAX: 10.91MIN: 4.5 / MAX: 6.91MIN: 1.87 / MAX: 2.71MIN: 1.88 / MAX: 2.26MIN: 1.88 / MAX: 2.41MIN: 1.86 / MAX: 5.63MIN: 1.86 / MAX: 2.3MIN: 1.83 / MAX: 2.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 1080pamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq schedutilacpi-cpufreq performanceamd-pstate performance816243240SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.31, N = 3SE +/- 0.35, N = 311.9914.9928.7029.5331.9932.0232.8032.891. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: Exhaustiveamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq schedutilacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq performanceamd-pstate ondemand90180270360450SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.27, N = 3SE +/- 0.32, N = 3SE +/- 0.40, N = 3SE +/- 0.42, N = 3SE +/- 0.35, N = 3SE +/- 0.29, N = 3402.38316.50147.84147.61147.53147.49147.35147.151. (CXX) g++ options: -O3 -flto -pthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400mamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate performanceacpi-cpufreq ondemandamd-pstate ondemandacpi-cpufreq schedutilacpi-cpufreq performance714212835SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 331.3825.3611.5411.5211.5211.4911.4911.49MIN: 30.87 / MAX: 55.29MIN: 25.13 / MAX: 28.61MIN: 11.23 / MAX: 15.01MIN: 11.19 / MAX: 15.36MIN: 11.16 / MAX: 12.84MIN: 11.22 / MAX: 12.34MIN: 11.19 / MAX: 12.01MIN: 11.21 / MAX: 15.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Zstd Compression

This test measures the time needed to compress/decompress a sample input file using Zstd compression supplied by the system or otherwise externally of the test profile. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 19 - Decompression Speedamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandacpi-cpufreq performanceamd-pstate performanceacpi-cpufreq ondemandacpi-cpufreq schedutil5001000150020002500SE +/- 1.44, N = 3SE +/- 1.05, N = 3SE +/- 3.99, N = 3SE +/- 3.80, N = 3SE +/- 2.84, N = 3SE +/- 2.11, N = 3SE +/- 3.69, N = 3SE +/- 1.18, N = 3904.61108.42431.52434.52437.62437.82438.52440.81. *** zstd command line interface 64-bits v1.4.8, by Yann Collet ***

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Timeamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq schedutilamd-pstate schedutilacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq performance50100150200250SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.23, N = 3218.37175.4485.8285.4485.3685.1385.0584.621. RawTherapee, version 5.8, command line.

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CPU-Onlyamd-pstate powersaveacpi-cpufreq powersaveacpi-cpufreq schedutilacpi-cpufreq performanceacpi-cpufreq ondemandamd-pstate schedutilamd-pstate ondemandamd-pstate performance160320480640800SE +/- 0.21, N = 3SE +/- 1.54, N = 3SE +/- 1.34, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.89, N = 3SE +/- 0.69, N = 3SE +/- 0.64, N = 3761.73603.78300.58300.05299.75299.59298.93298.47

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4Kamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq schedutilacpi-cpufreq performanceamd-pstate performance3691215SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.052, N = 3SE +/- 0.055, N = 3SE +/- 0.054, N = 3SE +/- 0.046, N = 3SE +/- 0.049, N = 3SE +/- 0.055, N = 33.6624.6069.0139.0949.1669.2779.2979.3031. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pamd-pstate powersaveacpi-cpufreq powersaveamd-pstate performanceamd-pstate ondemandacpi-cpufreq schedutilamd-pstate schedutilacpi-cpufreq performanceacpi-cpufreq ondemand1530456075SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.30, N = 5SE +/- 0.22, N = 5SE +/- 0.20, N = 5SE +/- 0.27, N = 5SE +/- 0.23, N = 5SE +/- 0.27, N = 526.3133.0264.1764.8764.8964.9865.0765.101. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2amd-pstate powersaveacpi-cpufreq powersaveacpi-cpufreq ondemandamd-pstate ondemandacpi-cpufreq performanceamd-pstate schedutilamd-pstate performanceacpi-cpufreq schedutil3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 312.5610.395.135.125.115.105.105.09MIN: 12.37 / MAX: 15.21MIN: 10.2 / MAX: 30.72MIN: 4.99 / MAX: 13.21MIN: 4.99 / MAX: 9.32MIN: 4.95 / MAX: 9.09MIN: 4.97 / MAX: 8.89MIN: 4.98 / MAX: 9.16MIN: 4.98 / MAX: 6.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq performanceacpi-cpufreq schedutilamd-pstate performance20406080100SE +/- 0.42, N = 3SE +/- 0.48, N = 4SE +/- 0.50, N = 6SE +/- 0.66, N = 6SE +/- 0.68, N = 6SE +/- 0.62, N = 6SE +/- 0.70, N = 6SE +/- 0.76, N = 633.9142.2779.5081.8682.1982.4482.4782.591. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Emilyamd-pstate powersaveacpi-cpufreq powersaveacpi-cpufreq ondemandamd-pstate ondemandamd-pstate schedutilamd-pstate performanceacpi-cpufreq schedutilacpi-cpufreq performance4008001200160020001740.501392.13719.15718.98716.49715.95715.50715.25

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.14Time To Compileamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandamd-pstate schedutilacpi-cpufreq schedutilamd-pstate performanceacpi-cpufreq performance80160240320400SE +/- 1.59, N = 3SE +/- 1.17, N = 3SE +/- 1.09, N = 3SE +/- 0.58, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.43, N = 3SE +/- 0.48, N = 3366.43295.39159.48158.93158.57158.39157.97157.92

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pamd-pstate powersaveacpi-cpufreq powersaveamd-pstate performanceamd-pstate ondemandacpi-cpufreq ondemandamd-pstate schedutilacpi-cpufreq schedutilacpi-cpufreq performance306090120150SE +/- 0.06, N = 5SE +/- 0.01, N = 5SE +/- 0.77, N = 7SE +/- 0.07, N = 7SE +/- 0.12, N = 7SE +/- 0.08, N = 7SE +/- 0.09, N = 7SE +/- 0.17, N = 757.7571.56129.42131.66132.02132.33132.71133.251. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Mediumamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq schedutilacpi-cpufreq performanceamd-pstate performance4080120160200SE +/- 0.41, N = 3SE +/- 0.29, N = 3SE +/- 0.32, N = 3SE +/- 1.42, N = 3SE +/- 0.21, N = 3SE +/- 1.20, N = 3SE +/- 0.35, N = 3SE +/- 0.32, N = 386.1104.2125.1130.2179.9192.4195.7198.3

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Highamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq schedutilacpi-cpufreq performanceamd-pstate performance4080120160200SE +/- 0.31, N = 3SE +/- 0.68, N = 3SE +/- 1.85, N = 12SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.31, N = 3SE +/- 0.63, N = 3SE +/- 0.12, N = 384.9102.2120.0122.9171.3184.2188.2190.6

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate performanceacpi-cpufreq performanceamd-pstate ondemand1530456075SE +/- 0.23, N = 3SE +/- 0.34, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 369.1658.0931.5331.4431.3731.3431.2731.18MIN: 68.14 / MAX: 243.39MIN: 56.74 / MAX: 64.29MIN: 30.72 / MAX: 33.68MIN: 30.62 / MAX: 35.06MIN: 30.76 / MAX: 35.56MIN: 30.6 / MAX: 39.96MIN: 30.63 / MAX: 39.3MIN: 30.33 / MAX: 35.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 1.0.2Time To Compileamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate performanceacpi-cpufreq performanceamd-pstate ondemand60120180240300SE +/- 0.71, N = 3SE +/- 0.67, N = 3SE +/- 0.16, N = 3SE +/- 0.35, N = 3SE +/- 0.27, N = 3SE +/- 0.10, N = 3SE +/- 0.38, N = 3SE +/- 0.19, N = 3254.58209.46115.83115.53115.41115.33115.27115.261. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compileamd-pstate powersaveacpi-cpufreq powersaveamd-pstate performanceamd-pstate ondemandacpi-cpufreq schedutilamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq performance110220330440550SE +/- 1.30, N = 3SE +/- 0.82, N = 3SE +/- 0.99, N = 3SE +/- 0.28, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.30, N = 3526.56426.95240.38239.67239.40239.40239.29238.41

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq schedutilacpi-cpufreq performance20406080100SE +/- 0.05, N = 4SE +/- 0.06, N = 5SE +/- 0.08, N = 6SE +/- 0.09, N = 6SE +/- 0.06, N = 7SE +/- 0.11, N = 7SE +/- 0.13, N = 7SE +/- 0.11, N = 745.4955.8396.5999.5599.6599.7199.80100.131. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandamd-pstate performanceacpi-cpufreq ondemandacpi-cpufreq schedutilacpi-cpufreq performance3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 312.4010.295.755.755.725.715.695.69MIN: 12.2 / MAX: 19.58MIN: 10.14 / MAX: 12.46MIN: 5.54 / MAX: 6.14MIN: 5.52 / MAX: 7.11MIN: 5.47 / MAX: 6.04MIN: 5.48 / MAX: 6.18MIN: 5.47 / MAX: 6.85MIN: 5.49 / MAX: 6.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Zstd Compression

This test measures the time needed to compress/decompress a sample input file using Zstd compression supplied by the system or otherwise externally of the test profile. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 19, Long Mode - Compression Speedamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq performanceacpi-cpufreq schedutilamd-pstate performanceamd-pstate schedutil48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 36.697.9514.3014.4014.4014.4014.4014.401. *** zstd command line interface 64-bits v1.4.8, by Yann Collet ***

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compileamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandamd-pstate schedutilamd-pstate performanceacpi-cpufreq schedutilacpi-cpufreq performance4080120160200SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3201.65165.6796.0595.9195.7695.7295.7195.47

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 1080amd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq schedutilacpi-cpufreq performanceamd-pstate schedutilamd-pstate performance50100150200250SE +/- 0.37, N = 3SE +/- 0.95, N = 3SE +/- 0.19, N = 3SE +/- 0.78, N = 3SE +/- 0.54, N = 3SE +/- 0.17, N = 3SE +/- 0.45, N = 3SE +/- 0.06, N = 3105.8127.5208.5215.4219.9220.9221.5222.4

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0amd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq performanceacpi-cpufreq schedutil510152025SE +/- 0.19, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 320.3717.3110.3210.3110.2710.2410.2310.22MIN: 19.75 / MAX: 44.89MIN: 16.83 / MAX: 22.1MIN: 9.92 / MAX: 13.89MIN: 9.89 / MAX: 13.33MIN: 9.8 / MAX: 11.88MIN: 9.83 / MAX: 13.89MIN: 9.88 / MAX: 21.14MIN: 9.82 / MAX: 11.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1080 - Effects Quality: Highamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate schedutilacpi-cpufreq performanceamd-pstate performance50100150200250SE +/- 0.24, N = 3SE +/- 0.20, N = 3SE +/- 0.53, N = 3SE +/- 0.68, N = 3SE +/- 0.15, N = 3SE +/- 0.51, N = 3SE +/- 0.76, N = 3SE +/- 0.22, N = 3109.08130.41200.66206.28212.82212.93213.03213.95MIN: 70 / MAX: 233MIN: 85 / MAX: 265MIN: 131 / MAX: 326MIN: 137 / MAX: 327MIN: 142 / MAX: 326MIN: 144 / MAX: 338MIN: 141 / MAX: 324MIN: 138 / MAX: 325

yquake2

This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 8.0Renderer: Vulkan - Resolution: 1920 x 1080amd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandamd-pstate schedutilacpi-cpufreq schedutilamd-pstate performanceacpi-cpufreq performance2004006008001000SE +/- 3.41, N = 13SE +/- 3.74, N = 11SE +/- 4.35, N = 12SE +/- 1.65, N = 13SE +/- 1.69, N = 13SE +/- 1.40, N = 13SE +/- 1.09, N = 13SE +/- 1.48, N = 13493.6619.6889.7948.4959.6963.5964.5964.61. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3amd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq performanceacpi-cpufreq ondemandamd-pstate ondemandamd-pstate performanceacpi-cpufreq schedutil3691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 312.4410.686.646.636.616.576.566.56MIN: 12.13 / MAX: 16.16MIN: 10.41 / MAX: 11.44MIN: 6.43 / MAX: 7.96MIN: 6.35 / MAX: 18.58MIN: 6.27 / MAX: 37.85MIN: 6.33 / MAX: 16.78MIN: 6.37 / MAX: 8.06MIN: 6.35 / MAX: 10.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq performanceacpi-cpufreq schedutilacpi-cpufreq ondemandamd-pstate schedutilamd-pstate performance1020304050SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.19, N = 3SE +/- 0.24, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 344.4237.7823.7223.6723.6023.6023.5723.56MIN: 43.88 / MAX: 49.22MIN: 37.3 / MAX: 58.09MIN: 22.62 / MAX: 27.29MIN: 22.55 / MAX: 34.43MIN: 22.57 / MAX: 34.58MIN: 22.58 / MAX: 28.19MIN: 22.57 / MAX: 27.06MIN: 22.63 / MAX: 34.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tinyamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq schedutilacpi-cpufreq ondemandamd-pstate ondemandamd-pstate performanceacpi-cpufreq performance20406080100SE +/- 0.62, N = 3SE +/- 0.32, N = 3SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.37, N = 3SE +/- 0.39, N = 3SE +/- 0.17, N = 379.1667.4342.7442.6642.6442.5742.5542.29MIN: 77.77 / MAX: 85.01MIN: 66.07 / MAX: 71.63MIN: 41.42 / MAX: 100.7MIN: 41.77 / MAX: 46.57MIN: 41.91 / MAX: 46.81MIN: 41.7 / MAX: 52.16MIN: 41.73 / MAX: 46.88MIN: 41.77 / MAX: 70.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenetamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate performanceacpi-cpufreq schedutilacpi-cpufreq performanceamd-pstate ondemandacpi-cpufreq ondemand1224364860SE +/- 0.65, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 351.6844.0628.2827.9927.9527.9127.8927.89MIN: 50.25 / MAX: 75.12MIN: 42.84 / MAX: 68.06MIN: 27.53 / MAX: 38.57MIN: 27.27 / MAX: 31.91MIN: 26.82 / MAX: 64.15MIN: 27 / MAX: 32MIN: 27.04 / MAX: 31.54MIN: 26.85 / MAX: 30.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1080 - Effects Quality: Ultraamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate performanceamd-pstate schedutilacpi-cpufreq performance4080120160200SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.73, N = 3SE +/- 0.28, N = 3SE +/- 0.44, N = 3SE +/- 0.35, N = 3SE +/- 0.34, N = 3SE +/- 0.40, N = 3100.17119.46176.00178.00183.39183.85184.80185.25MIN: 65 / MAX: 196MIN: 79 / MAX: 218MIN: 110 / MAX: 276MIN: 106 / MAX: 285MIN: 98 / MAX: 288MIN: 103 / MAX: 281MIN: 110 / MAX: 284MIN: 111 / MAX: 283

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2amd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq performanceamd-pstate ondemandacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq schedutil48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 313.9312.087.827.777.767.767.757.74MIN: 13.53 / MAX: 20.35MIN: 11.64 / MAX: 18.22MIN: 7.48 / MAX: 9.18MIN: 7.42 / MAX: 9.19MIN: 7.43 / MAX: 10.92MIN: 7.45 / MAX: 9MIN: 7.41 / MAX: 9.27MIN: 7.42 / MAX: 11.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Ultraamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate performanceacpi-cpufreq performance306090120150SE +/- 0.52, N = 3SE +/- 0.61, N = 3SE +/- 0.21, N = 3SE +/- 0.93, N = 15SE +/- 1.74, N = 3SE +/- 1.46, N = 3SE +/- 2.11, N = 3SE +/- 1.59, N = 383.3100.8120.0120.1143.7144.8149.2149.9

Zstd Compression

This test measures the time needed to compress/decompress a sample input file using Zstd compression supplied by the system or otherwise externally of the test profile. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd CompressionCompression Level: 19 - Compression Speedamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate schedutilacpi-cpufreq performanceamd-pstate performance48121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 39.1910.7016.2016.3016.3016.3016.4016.401. *** zstd command line interface 64-bits v1.4.8, by Yann Collet ***

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50amd-pstate powersaveacpi-cpufreq powersaveacpi-cpufreq ondemandamd-pstate schedutilacpi-cpufreq performanceamd-pstate performanceamd-pstate ondemandacpi-cpufreq schedutil20406080100SE +/- 0.07, N = 3SE +/- 0.32, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 376.3366.2244.0243.9943.8243.7643.7243.66MIN: 75.81 / MAX: 99.14MIN: 65.02 / MAX: 84.91MIN: 43 / MAX: 82.85MIN: 43.32 / MAX: 47.81MIN: 43.26 / MAX: 52.91MIN: 43.23 / MAX: 46.75MIN: 42.99 / MAX: 48MIN: 43.05 / MAX: 47.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18amd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandamd-pstate schedutilacpi-cpufreq performanceacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq schedutil918273645SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 340.4735.0523.6623.6523.6423.5623.5323.53MIN: 40.07 / MAX: 45.29MIN: 34.76 / MAX: 40.1MIN: 22.72 / MAX: 27.82MIN: 22.81 / MAX: 28.23MIN: 22.75 / MAX: 34.98MIN: 22.91 / MAX: 27.24MIN: 22.73 / MAX: 34.26MIN: 22.79 / MAX: 27.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq schedutilamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq performanceamd-pstate performance306090120150SE +/- 0.64, N = 3SE +/- 0.65, N = 3SE +/- 0.64, N = 3SE +/- 0.17, N = 3SE +/- 0.29, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3123.66105.8798.8787.0580.4176.3573.2472.46

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetamd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandacpi-cpufreq performanceamd-pstate performanceacpi-cpufreq schedutilacpi-cpufreq ondemand714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 329.9526.1817.9217.9017.8617.7217.6817.64MIN: 29.7 / MAX: 51.89MIN: 25.91 / MAX: 35.18MIN: 16.87 / MAX: 25.81MIN: 16.79 / MAX: 18.91MIN: 16.86 / MAX: 19.36MIN: 16.92 / MAX: 29.22MIN: 16.79 / MAX: 28.42MIN: 16.8 / MAX: 21.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 1920 x 1080 - Effects Quality: Ultimateamd-pstate powersaveacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate schedutilamd-pstate performanceacpi-cpufreq performance306090120150SE +/- 0.07, N = 3SE +/- 0.38, N = 3SE +/- 0.34, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.59, N = 3SE +/- 0.44, N = 3SE +/- 0.50, N = 385.71100.89138.06138.98142.35142.37142.71142.71MIN: 16 / MAX: 172MIN: 20 / MAX: 198MIN: 33 / MAX: 251MIN: 35 / MAX: 241MIN: 35 / MAX: 247MIN: 35 / MAX: 244MIN: 34 / MAX: 248MIN: 35 / MAX: 249

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16amd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilamd-pstate ondemandacpi-cpufreq schedutilacpi-cpufreq performanceacpi-cpufreq ondemandamd-pstate performance306090120150SE +/- 0.56, N = 3SE +/- 0.48, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.40, N = 3SE +/- 0.05, N = 3132.89123.01107.30107.28106.88106.87106.82106.71MIN: 131.41 / MAX: 197.31MIN: 121.36 / MAX: 209.27MIN: 106.3 / MAX: 117.74MIN: 106.38 / MAX: 117.01MIN: 106.31 / MAX: 118.22MIN: 106.07 / MAX: 109.56MIN: 105.57 / MAX: 118.55MIN: 105.49 / MAX: 142.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Basemark GPU

This is a benchmark of Basemark GPU. For this test profile to work, you must have a valid license/copy of BasemarkGPU in your Phoronix Test Suite download cache. This test profile simply automates the execution of BasemarkGPU and you must already have the Windows .zip or Linux .tar.gz in the download cache. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: OpenGL - Resolution: 1920 x 1080 - Graphics Preset: Mediumamd-pstate powersaveamd-pstate schedutilacpi-cpufreq schedutilacpi-cpufreq powersaveamd-pstate ondemandacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq performance20406080100SE +/- 0.19, N = 3SE +/- 0.41, N = 3SE +/- 0.62, N = 3SE +/- 0.10, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.38, N = 3SE +/- 0.32, N = 383.1484.3187.8288.1689.0095.8198.76100.97MIN: 36.47 / MAX: 393.96MIN: 36.23 / MAX: 589.08MIN: 37.72 / MAX: 553.94MIN: 37.46 / MAX: 404.62MIN: 38.32 / MAX: 506.96MIN: 41.61 / MAX: 637.98MIN: 38.42 / MAX: 714.09MIN: 42.68 / MAX: 679.77

Tesseract

Tesseract is a fork of Cube 2 Sauerbraten with numerous graphics and game-play improvements. Tesseract has been in development since 2012 while its first release happened in May of 2014. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 1920 x 1080amd-pstate powersaveacpi-cpufreq powersaveamd-pstate schedutilacpi-cpufreq ondemandacpi-cpufreq performanceacpi-cpufreq schedutilamd-pstate performanceamd-pstate ondemand306090120150SE +/- 0.63, N = 3SE +/- 0.53, N = 3SE +/- 1.07, N = 3SE +/- 1.38, N = 3SE +/- 0.92, N = 3SE +/- 0.74, N = 3SE +/- 1.58, N = 4SE +/- 0.20, N = 3129.15139.67146.28148.38148.54148.63149.52149.66

DDraceNetwork

This is a test of DDraceNetwork, an open-source cooperative platformer. OpenGL 3.3 is used for rendering, with fallbacks for older OpenGL versions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterDDraceNetwork 15.3.1Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2acpi-cpufreq performanceamd-pstate performanceacpi-cpufreq schedutilamd-pstate schedutilacpi-cpufreq ondemandamd-pstate ondemandacpi-cpufreq powersaveamd-pstate powersave90180270360450SE +/- 5.26, N = 3SE +/- 3.76, N = 3SE +/- 4.00, N = 3SE +/- 3.14, N = 3SE +/- 2.97, N = 3SE +/- 3.43, N = 3SE +/- 3.61, N = 3SE +/- 3.37, N = 3372.90376.72376.89378.90401.24402.81405.22407.011. (CXX) g++ options: -O3 -lrt -pthread -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

Basemark GPU

This is a benchmark of Basemark GPU. For this test profile to work, you must have a valid license/copy of BasemarkGPU in your Phoronix Test Suite download cache. This test profile simply automates the execution of BasemarkGPU and you must already have the Windows .zip or Linux .tar.gz in the download cache. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: Mediumacpi-cpufreq powersaveamd-pstate schedutilamd-pstate powersaveacpi-cpufreq schedutilamd-pstate performanceamd-pstate ondemandacpi-cpufreq performanceacpi-cpufreq ondemand306090120150SE +/- 0.19, N = 3SE +/- 0.47, N = 3SE +/- 0.98, N = 15SE +/- 0.92, N = 15SE +/- 0.91, N = 15SE +/- 0.39, N = 3SE +/- 0.80, N = 3SE +/- 0.17, N = 3111.12111.64117.27118.27118.59119.71120.49121.13MIN: 65.47 / MAX: 206.85MIN: 65.12 / MAX: 224.41MIN: 64.75 / MAX: 245.03MIN: 64.71 / MAX: 248.91MIN: 64.77 / MAX: 251.47MIN: 68.93 / MAX: 217.4MIN: 69.07 / MAX: 225.61MIN: 69.82 / MAX: 233.5

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System Monitoringacpi-cpufreq performanceacpi-cpufreq ondemandamd-pstate performanceacpi-cpufreq schedutilamd-pstate ondemandamd-pstate schedutilacpi-cpufreq powersaveamd-pstate powersave1428425670Min: 35 / Avg: 56.18 / Max: 68Min: 31.63 / Avg: 56.13 / Max: 70.5Min: 34.5 / Avg: 55.79 / Max: 70.38Min: 34.38 / Avg: 55.61 / Max: 69Min: 35.38 / Avg: 55.32 / Max: 68.75Min: 34.63 / Avg: 54.43 / Max: 68.5Min: 30.13 / Avg: 42.38 / Max: 57.5Min: 32.25 / Avg: 41.94 / Max: 57.63

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringamd-pstate performanceacpi-cpufreq performanceacpi-cpufreq ondemandacpi-cpufreq schedutilamd-pstate ondemandamd-pstate schedutilacpi-cpufreq powersaveamd-pstate powersave612182430Min: 0.84 / Avg: 14.15 / Max: 25.94Min: 0.82 / Avg: 14.03 / Max: 25.73Min: 0.84 / Avg: 13.91 / Max: 25.59Min: 0.82 / Avg: 13.78 / Max: 25.73Min: 0.87 / Avg: 13.53 / Max: 26.07Min: 0.78 / Avg: 13.44 / Max: 26.71Min: 0.82 / Avg: 5.69 / Max: 24.77Min: 0.81 / Avg: 5.37 / Max: 24.14