Tiger Lake Linux 5.10 CPU Security Mitigations Test

Tests for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011256-HA-TIGERLAKE17
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

Limit displaying results to tests within:

Web Browsers 1 Tests
Timed Code Compilation 2 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 7 Tests
Creator Workloads 7 Tests
Database Test Suite 3 Tests
HPC - High Performance Computing 5 Tests
Imaging 5 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 4 Tests
Multi-Core 2 Tests
NVIDIA GPU Compute 2 Tests
Productivity 4 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 2 Tests
Server 3 Tests
Server CPU Tests 5 Tests
Single-Threaded 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
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

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Default
November 24 2020
  8 Hours, 5 Minutes
mitigations=off
November 25 2020
  8 Hours, 4 Minutes
Invert Hiding All Results Option
  8 Hours, 4 Minutes
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):

Default

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

mitigations=off

Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.0.3 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel UHD 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201

OS: Ubuntu 20.10, Kernel: 5.10.0-051000rc5daily20201124-generic (x86_64) 20201123, Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1200

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected

Tiger Lake Linux 5.10 CPU Security Mitigations TestOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (1.0.3 BIOS)Intel Tiger Lake-LP16GBKioxia KBG40ZNS256G NVMe 256GBIntel UHD 3GB (1300MHz)Realtek ALC289Intel Wi-Fi 6 AX201Ubuntu 20.105.10.0-051000rc5daily20201124-generic (x86_64) 20201123GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionTiger Lake Linux 5.10 CPU Security Mitigations Test BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3- OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- Python 3.8.6- Default: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - mitigations=off: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected

Default vs. mitigations=off ComparisonPhoronix Test SuiteBaseline+23%+23%+46%+46%+69%+69%+92%+92%14.8%13.7%13.5%11.2%11.2%10.4%10.1%9.1%8.4%4.3%3.5%3.4%3%3%2.9%2.9%2.9%2.8%2.1%2%Rand Fill Sync92.1%CPU - efficientnet-b0CPU - mnasnetKraken - FirefoxJythonCPU - shufflenet-v2Jetstream 2 - FirefoxWebXPRT - FirefoxARES-6 - FirefoxPSPDFKit WASM - Firefox3.E.F.I.R.C.1.TThroughput3.9%Context SwitchingCPU-v2-v2 - mobilenet-v2Seq FillSeek RandSqueezeNetV1.0StyleBench - FirefoxSeq FillTimed Time - Size 1,000T.T.S.S2.7%Rand Fill2.2%Maze Solver - Google Chrome2.2%Jetstream 2 - Google Chrome2.F.P.1.TFacebook RocksDBNCNNNCNNSeleniumDaCapo BenchmarkNCNNSeleniumSeleniumSeleniumSeleniumG'MICSockperfStress-NGNCNNLevelDBLevelDBMobile Neural NetworkSeleniumLevelDBSQLite SpeedtesteSpeak-NG Speech EngineFacebook RocksDBSeleniumSeleniumG'MICDefaultmitigations=off

Tiger Lake Linux 5.10 CPU Security Mitigations Testrocksdb: Rand Fill Syncselenium: Kraken - Firefoxselenium: Jetstream 2 - Firefoxselenium: WebXPRT - Firefoxselenium: ARES-6 - Firefoxselenium: PSPDFKit WASM - Firefoxgmic: 3D Elevated Function In Rand Colors, 100 Timessockperf: Throughputstress-ng: Context Switchingleveldb: Seq Fillmnn: SqueezeNetV1.0selenium: StyleBench - Firefoxleveldb: Seq Fillsqlite-speedtest: Timed Time - Size 1,000espeak: Text-To-Speech Synthesisrocksdb: Rand Fillselenium: Maze Solver - Google Chromeselenium: Jetstream 2 - Google Chromegmic: 2D Function Plotting, 1000 Timesleveldb: Rand Deletemnn: MobileNetV2_224mnn: inception-v3build-gcc: Time To Compileselenium: PSPDFKit WASM - Google Chromestress-ng: Socket Activitymnn: resnet-v2-50leveldb: Hot Readtensorflow-lite: NASNet Mobilestress-ng: MMAPbuild-gdb: Time To Compilecaffe: AlexNet - CPU - 100leveldb: Rand Readdarktable: Masskrug - CPU-onlygimp: unsharp-maskncnn: CPU - googlenetgmic: Plotting Isosurface Of A 3D Volume, 1000 Timestensorflow-lite: Mobilenet Floattesseract-ocr: Time To OCR 7 Imagesleveldb: Overwriteoctave-benchmark: ncnn: CPU - blazefacerocksdb: Read While Writingleveldb: Fill Syncselenium: Kraken - Google Chromegimp: rotaterawtherapee: Total Benchmark Timetensorflow-lite: Inception V4selenium: WebXPRT - Google Chromeleveldb: Overwritegegl: Reflectncnn: CPU - mobilenetgimp: auto-levelscaffe: GoogleNet - CPU - 100ncnn: CPU - resnet50ncnn: CPU - yolov4-tinygegl: Tile Glassgegl: Scaleleveldb: Rand Fillrocksdb: Rand Readleveldb: Rand Filltensorflow-lite: Mobilenet Quantselenium: StyleBench - Google Chrometensorflow-lite: SqueezeNettensorflow-lite: Inception ResNet V2darktable: Boat - CPU-onlyncnn: CPU - resnet18selenium: ARES-6 - Google Chromelibreoffice: 20 Documents To PDFncnn: CPU - vgg16gegl: Antialiasgegl: Color Enhancegegl: Wavelet Blurncnn: CPU - squeezenetncnn: CPU - alexnetgegl: Cartoongegl: Rotate 90 Degreesgegl: Cropstress-ng: SENDFILEselenium: Maze Solver - Firefoxdarktable: Server Rack - CPU-onlyrocksdb: Seq Fillncnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2mnn: mobilenet-v1-1.0gimp: resizedarktable: Server Room - CPU-onlydacapobench: Jythonleveldb: Seek RandDefaultmitigations=off19791008.485.89026844.86297347.8267759701414478.6025.72311.48889.734.553.28828.0767196324.6162.870100.06025.0256.22268.7462003.16829593290.1054.5433.48541361937.69173.693862183.5099.07513.53424.8915.23738525920.60140.96.1682.166886173494.401653.89.774100.025832273728421.64726.39131.2711.32221906750.7040.8626.8245.93121.7811539906540.638020241.4571566754180016.72821.6716.425.55072.3534.22949.01250.72426.3018.9078.85038.2597.36450508.595.30.19799119811.567.985.546.557.237.1989.5117.10838675.8741030888.794.78129541.12274245.8537465261464313.5424.96311.16492.335.551.84828.8407041844.7166.22698.05924.5546.12867.7671975.57429233251.5753.9643.51541027437.96172.467856453.5329.01713.45125.0415.15338319920.49340.76.1392.176916653507.782651.49.81099.667829332028321.71826.47631.1711.28621840750.5540.7426.9035.94821.7241536026340.737927841.3570229755916316.76421.7116.395.56072.2234.16849.09350.80726.2618.9278.91138.2877.36050493.775.30.19798808110.077.024.986.566.997.0889.3917.11534765.702OpenBenchmarking.org

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncDefaultmitigations=off400800120016002000SE +/- 9.21, N = 3SE +/- 8.35, N = 3197910301. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncDefaultmitigations=off30060090012001500Min: 1966 / Avg: 1979.33 / Max: 1997Min: 1021 / Avg: 1030.33 / Max: 10471. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxDefaultmitigations=off2004006008001000SE +/- 1.73, N = 3SE +/- 0.25, N = 31008.4888.71. firefox 83.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxDefaultmitigations=off2004006008001000Min: 1005.4 / Avg: 1008.4 / Max: 1011.4Min: 888.4 / Avg: 888.7 / Max: 889.21. firefox 83.0

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxDefaultmitigations=off20406080100SE +/- 0.33, N = 3SE +/- 0.81, N = 385.8994.781. firefox 83.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxDefaultmitigations=off20406080100Min: 85.41 / Avg: 85.89 / Max: 86.52Min: 93.89 / Avg: 94.78 / Max: 96.41. firefox 83.0

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxDefaultmitigations=off601201802403002682951. firefox 83.0

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxDefaultmitigations=off1020304050SE +/- 0.07, N = 3SE +/- 0.09, N = 344.8641.121. firefox 83.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxDefaultmitigations=off918273645Min: 44.74 / Avg: 44.86 / Max: 44.97Min: 40.99 / Avg: 41.12 / Max: 41.31. firefox 83.0

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxDefaultmitigations=off6001200180024003000SE +/- 2.08, N = 3SE +/- 7.77, N = 3297327421. firefox 83.0
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxDefaultmitigations=off5001000150020002500Min: 2969 / Avg: 2973 / Max: 2976Min: 2727 / Avg: 2742 / Max: 27531. firefox 83.0

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesDefaultmitigations=off1122334455SE +/- 0.49, N = 15SE +/- 0.31, N = 347.8345.851. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesDefaultmitigations=off1020304050Min: 45.66 / Avg: 47.83 / Max: 50.18Min: 45.23 / Avg: 45.85 / Max: 46.181. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputDefaultmitigations=off170K340K510K680K850KSE +/- 5210.46, N = 5SE +/- 6537.85, N = 257759707465261. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputDefaultmitigations=off130K260K390K520K650KMin: 758599 / Avg: 775970.2 / Max: 789728Min: 631017 / Avg: 746525.96 / Max: 7812821. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingDefaultmitigations=off300K600K900K1200K1500KSE +/- 16914.47, N = 3SE +/- 17775.24, N = 51414478.601464313.541. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingDefaultmitigations=off300K600K900K1200K1500KMin: 1393472.4 / Avg: 1414478.6 / Max: 1447945.87Min: 1435173.74 / Avg: 1464313.54 / Max: 1532393.231. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillDefaultmitigations=off612182430SE +/- 0.29, N = 13SE +/- 0.29, N = 1425.7224.961. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillDefaultmitigations=off612182430Min: 22.2 / Avg: 25.72 / Max: 26.13Min: 21.18 / Avg: 24.96 / Max: 25.571. (CXX) g++ options: -O3 -lsnappy -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Defaultmitigations=off3691215SE +/- 0.02, N = 3SE +/- 0.07, N = 311.4911.16MIN: 11.11 / MAX: 27.9MIN: 10.68 / MAX: 25.771. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Defaultmitigations=off3691215Min: 11.47 / Avg: 11.49 / Max: 11.53Min: 11.04 / Avg: 11.16 / Max: 11.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxDefaultmitigations=off20406080100SE +/- 1.29, N = 3SE +/- 1.50, N = 389.792.31. firefox 83.0
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxDefaultmitigations=off20406080100Min: 87.7 / Avg: 89.7 / Max: 92.1Min: 89.6 / Avg: 92.3 / Max: 94.81. firefox 83.0

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillDefaultmitigations=off816243240SE +/- 0.45, N = 13SE +/- 0.49, N = 1434.535.51. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillDefaultmitigations=off816243240Min: 33.9 / Avg: 34.48 / Max: 39.9Min: 34.6 / Avg: 35.52 / Max: 41.81. (CXX) g++ options: -O3 -lsnappy -lpthread

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Defaultmitigations=off1224364860SE +/- 0.80, N = 3SE +/- 0.08, N = 353.2951.851. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Defaultmitigations=off1122334455Min: 51.75 / Avg: 53.29 / Max: 54.4Min: 51.68 / Avg: 51.85 / Max: 51.931. (CC) gcc options: -O2 -ldl -lz -lpthread

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisDefaultmitigations=off714212835SE +/- 0.10, N = 4SE +/- 0.34, N = 428.0828.841. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisDefaultmitigations=off612182430Min: 27.9 / Avg: 28.08 / Max: 28.34Min: 27.85 / Avg: 28.84 / Max: 29.351. (CC) gcc options: -O2 -std=c99

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillDefaultmitigations=off150K300K450K600K750KSE +/- 6978.17, N = 3SE +/- 6238.70, N = 157196327041841. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillDefaultmitigations=off120K240K360K480K600KMin: 711461 / Avg: 719632 / Max: 733516Min: 674323 / Avg: 704184.47 / Max: 7805301. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Selenium

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeDefaultmitigations=off1.05752.1153.17254.235.2875SE +/- 0.06, N = 3SE +/- 0.03, N = 34.64.71. chrome 87.0.4280.66
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeDefaultmitigations=off246810Min: 4.5 / Avg: 4.6 / Max: 4.7Min: 4.6 / Avg: 4.67 / Max: 4.71. chrome 87.0.4280.66

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeDefaultmitigations=off4080120160200SE +/- 0.97, N = 3SE +/- 1.81, N = 3162.87166.231. chrome 87.0.4280.66
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeDefaultmitigations=off306090120150Min: 161.17 / Avg: 162.87 / Max: 164.52Min: 162.61 / Avg: 166.23 / Max: 168.041. chrome 87.0.4280.66

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesDefaultmitigations=off20406080100SE +/- 0.56, N = 3SE +/- 0.31, N = 3100.0698.061. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesDefaultmitigations=off20406080100Min: 99.23 / Avg: 100.06 / Max: 101.12Min: 97.44 / Avg: 98.06 / Max: 98.411. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteDefaultmitigations=off612182430SE +/- 0.35, N = 12SE +/- 0.31, N = 1225.0324.551. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteDefaultmitigations=off612182430Min: 21.25 / Avg: 25.03 / Max: 25.51Min: 21.2 / Avg: 24.55 / Max: 25.211. (CXX) g++ options: -O3 -lsnappy -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Defaultmitigations=off246810SE +/- 0.006, N = 3SE +/- 0.007, N = 36.2226.128MIN: 6.06 / MAX: 21.76MIN: 6.01 / MAX: 20.921. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Defaultmitigations=off246810Min: 6.21 / Avg: 6.22 / Max: 6.23Min: 6.12 / Avg: 6.13 / Max: 6.141. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Defaultmitigations=off1530456075SE +/- 0.12, N = 3SE +/- 0.25, N = 368.7567.77MIN: 67.38 / MAX: 85.18MIN: 65.47 / MAX: 82.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Defaultmitigations=off1326395265Min: 68.53 / Avg: 68.75 / Max: 68.93Min: 67.47 / Avg: 67.77 / Max: 68.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileDefaultmitigations=off400800120016002000SE +/- 3.00, N = 3SE +/- 0.11, N = 32003.171975.57
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 9.3.0Time To CompileDefaultmitigations=off30060090012001500Min: 1999.45 / Avg: 2003.17 / Max: 2009.11Min: 1975.44 / Avg: 1975.57 / Max: 1975.8

Selenium

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

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeDefaultmitigations=off6001200180024003000SE +/- 7.36, N = 3SE +/- 5.21, N = 3295929231. chrome 87.0.4280.66
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeDefaultmitigations=off5001000150020002500Min: 2944 / Avg: 2958.67 / Max: 2967Min: 2914 / Avg: 2923.33 / Max: 29321. chrome 87.0.4280.66

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityDefaultmitigations=off7001400210028003500SE +/- 32.22, N = 15SE +/- 31.24, N = 143290.103251.571. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityDefaultmitigations=off6001200180024003000Min: 3149.38 / Avg: 3290.1 / Max: 3671.76Min: 3155.66 / Avg: 3251.57 / Max: 3601.091. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Defaultmitigations=off1224364860SE +/- 0.07, N = 3SE +/- 0.25, N = 354.5453.96MIN: 53.36 / MAX: 71.1MIN: 51.92 / MAX: 68.881. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Defaultmitigations=off1122334455Min: 54.42 / Avg: 54.54 / Max: 54.67Min: 53.47 / Avg: 53.96 / Max: 54.321. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadDefaultmitigations=off0.79091.58182.37273.16363.9545SE +/- 0.042, N = 3SE +/- 0.010, N = 33.4853.5151. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadDefaultmitigations=off246810Min: 3.43 / Avg: 3.49 / Max: 3.57Min: 3.5 / Avg: 3.52 / Max: 3.531. (CXX) g++ options: -O3 -lsnappy -lpthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileDefaultmitigations=off90K180K270K360K450KSE +/- 3056.75, N = 3SE +/- 3237.04, N = 3413619410274
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileDefaultmitigations=off70K140K210K280K350KMin: 407506 / Avg: 413619.33 / Max: 416716Min: 403807 / Avg: 410274.33 / Max: 413764

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPDefaultmitigations=off918273645SE +/- 0.48, N = 5SE +/- 0.63, N = 337.6937.961. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPDefaultmitigations=off816243240Min: 37.09 / Avg: 37.69 / Max: 39.59Min: 37 / Avg: 37.96 / Max: 39.161. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileDefaultmitigations=off4080120160200SE +/- 0.35, N = 3SE +/- 0.24, N = 3173.69172.47
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileDefaultmitigations=off306090120150Min: 172.99 / Avg: 173.69 / Max: 174.09Min: 172 / Avg: 172.47 / Max: 172.82

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Defaultmitigations=off20K40K60K80K100KSE +/- 413.15, N = 3SE +/- 483.09, N = 386218856451. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Defaultmitigations=off15K30K45K60K75KMin: 85392 / Avg: 86218 / Max: 86650Min: 84680 / Avg: 85645.33 / Max: 861631. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadDefaultmitigations=off0.79471.58942.38413.17883.9735SE +/- 0.021, N = 3SE +/- 0.008, N = 33.5093.5321. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadDefaultmitigations=off246810Min: 3.48 / Avg: 3.51 / Max: 3.55Min: 3.52 / Avg: 3.53 / Max: 3.541. (CXX) g++ options: -O3 -lsnappy -lpthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyDefaultmitigations=off3691215SE +/- 0.153, N = 12SE +/- 0.155, N = 129.0759.017
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyDefaultmitigations=off3691215Min: 7.41 / Avg: 9.08 / Max: 9.47Min: 7.32 / Avg: 9.02 / Max: 9.3

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskDefaultmitigations=off3691215SE +/- 0.11, N = 12SE +/- 0.17, N = 513.5313.45
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskDefaultmitigations=off48121620Min: 12.31 / Avg: 13.53 / Max: 13.73Min: 12.79 / Avg: 13.45 / Max: 13.7

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 20200916Target: CPU - Model: googlenetDefaultmitigations=off612182430SE +/- 0.02, N = 3SE +/- 0.22, N = 324.8925.04MIN: 22.81 / MAX: 35.64MIN: 22.77 / MAX: 36.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetDefaultmitigations=off612182430Min: 24.85 / Avg: 24.89 / Max: 24.93Min: 24.81 / Avg: 25.04 / Max: 25.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesDefaultmitigations=off48121620SE +/- 0.07, N = 3SE +/- 0.05, N = 315.2415.151. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesDefaultmitigations=off48121620Min: 15.16 / Avg: 15.24 / Max: 15.37Min: 15.05 / Avg: 15.15 / Max: 15.221. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatDefaultmitigations=off80K160K240K320K400KSE +/- 2784.05, N = 3SE +/- 2974.29, N = 3385259383199
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatDefaultmitigations=off70K140K210K280K350KMin: 379691 / Avg: 385259 / Max: 388071Min: 377255 / Avg: 383199.33 / Max: 386366

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesDefaultmitigations=off510152025SE +/- 0.20, N = 3SE +/- 0.20, N = 320.6020.49
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesDefaultmitigations=off510152025Min: 20.32 / Avg: 20.6 / Max: 20.99Min: 20.29 / Avg: 20.49 / Max: 20.89

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteDefaultmitigations=off918273645SE +/- 0.19, N = 3SE +/- 0.49, N = 340.940.71. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteDefaultmitigations=off918273645Min: 40.5 / Avg: 40.87 / Max: 41.1Min: 40.1 / Avg: 40.73 / Max: 41.71. (CXX) g++ options: -O3 -lsnappy -lpthread

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Defaultmitigations=off246810SE +/- 0.011, N = 5SE +/- 0.011, N = 56.1686.139
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Defaultmitigations=off246810Min: 6.13 / Avg: 6.17 / Max: 6.2Min: 6.12 / Avg: 6.14 / Max: 6.18

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 20200916Target: CPU - Model: blazefaceDefaultmitigations=off0.48830.97661.46491.95322.4415SE +/- 0.01, N = 3SE +/- 0.02, N = 32.162.17MIN: 1.97 / MAX: 2.31MIN: 2.03 / MAX: 4.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceDefaultmitigations=off246810Min: 2.14 / Avg: 2.16 / Max: 2.17Min: 2.15 / Avg: 2.17 / Max: 2.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingDefaultmitigations=off150K300K450K600K750KSE +/- 8126.46, N = 6SE +/- 8273.40, N = 66886176916651. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingDefaultmitigations=off120K240K360K480K600KMin: 676527 / Avg: 688616.5 / Max: 728821Min: 674138 / Avg: 691664.67 / Max: 7314351. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncDefaultmitigations=off8001600240032004000SE +/- 4.51, N = 15SE +/- 7.80, N = 153494.403507.781. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncDefaultmitigations=off6001200180024003000Min: 3469.1 / Avg: 3494.4 / Max: 3534.86Min: 3432.05 / Avg: 3507.78 / Max: 3549.151. (CXX) g++ options: -O3 -lsnappy -lpthread

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeDefaultmitigations=off140280420560700SE +/- 0.81, N = 3SE +/- 0.42, N = 3653.8651.41. chrome 87.0.4280.66
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeDefaultmitigations=off120240360480600Min: 652.2 / Avg: 653.77 / Max: 654.9Min: 650.9 / Avg: 651.37 / Max: 652.21. chrome 87.0.4280.66

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateDefaultmitigations=off3691215SE +/- 0.032, N = 3SE +/- 0.016, N = 39.7749.810
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateDefaultmitigations=off3691215Min: 9.74 / Avg: 9.77 / Max: 9.84Min: 9.78 / Avg: 9.81 / Max: 9.84

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 TimeDefaultmitigations=off20406080100SE +/- 0.76, N = 3SE +/- 0.88, N = 3100.0399.671. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeDefaultmitigations=off20406080100Min: 98.5 / Avg: 100.02 / Max: 100.82Min: 97.91 / Avg: 99.67 / Max: 100.631. RawTherapee, version 5.8, command line.

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Defaultmitigations=off2M4M6M8M10MSE +/- 4861.86, N = 3SE +/- 1647.21, N = 383227378293320
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Defaultmitigations=off1.4M2.8M4.2M5.6M7MMin: 8313960 / Avg: 8322736.67 / Max: 8330750Min: 8290300 / Avg: 8293320 / Max: 8295970

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeDefaultmitigations=off60120180240300SE +/- 1.20, N = 3SE +/- 1.00, N = 32842831. chrome 87.0.4280.66
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeDefaultmitigations=off50100150200250Min: 282 / Avg: 284.33 / Max: 286Min: 281 / Avg: 283 / Max: 2841. chrome 87.0.4280.66

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteDefaultmitigations=off510152025SE +/- 0.09, N = 3SE +/- 0.26, N = 321.6521.721. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteDefaultmitigations=off510152025Min: 21.55 / Avg: 21.65 / Max: 21.83Min: 21.21 / Avg: 21.72 / Max: 22.071. (CXX) g++ options: -O3 -lsnappy -lpthread

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectDefaultmitigations=off612182430SE +/- 0.27, N = 3SE +/- 0.22, N = 326.3926.48
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectDefaultmitigations=off612182430Min: 25.85 / Avg: 26.39 / Max: 26.72Min: 26.05 / Avg: 26.48 / Max: 26.73

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 20200916Target: CPU - Model: mobilenetDefaultmitigations=off714212835SE +/- 0.04, N = 3SE +/- 0.06, N = 331.2731.17MIN: 30.81 / MAX: 42.74MIN: 30.77 / MAX: 41.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetDefaultmitigations=off714212835Min: 31.19 / Avg: 31.27 / Max: 31.34Min: 31.04 / Avg: 31.17 / Max: 31.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsDefaultmitigations=off3691215SE +/- 0.13, N = 6SE +/- 0.12, N = 711.3211.29
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsDefaultmitigations=off3691215Min: 10.66 / Avg: 11.32 / Max: 11.52Min: 10.56 / Avg: 11.29 / Max: 11.43

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Defaultmitigations=off50K100K150K200K250KSE +/- 412.67, N = 3SE +/- 352.51, N = 32190672184071. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Defaultmitigations=off40K80K120K160K200KMin: 218329 / Avg: 219067 / Max: 219756Min: 217702 / Avg: 218407 / Max: 2187651. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 20200916Target: CPU - Model: resnet50Defaultmitigations=off1122334455SE +/- 0.03, N = 3SE +/- 0.06, N = 350.7050.55MIN: 47.11 / MAX: 63.03MIN: 47.08 / MAX: 60.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Defaultmitigations=off1020304050Min: 50.66 / Avg: 50.7 / Max: 50.76Min: 50.44 / Avg: 50.55 / Max: 50.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyDefaultmitigations=off918273645SE +/- 0.01, N = 3SE +/- 0.04, N = 340.8640.74MIN: 39.72 / MAX: 52.31MIN: 39.83 / MAX: 43.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyDefaultmitigations=off816243240Min: 40.84 / Avg: 40.86 / Max: 40.89Min: 40.67 / Avg: 40.74 / Max: 40.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassDefaultmitigations=off612182430SE +/- 0.28, N = 3SE +/- 0.28, N = 326.8226.90
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassDefaultmitigations=off612182430Min: 26.27 / Avg: 26.82 / Max: 27.15Min: 26.35 / Avg: 26.9 / Max: 27.22

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleDefaultmitigations=off1.33832.67664.01495.35326.6915SE +/- 0.045, N = 15SE +/- 0.048, N = 155.9315.948
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleDefaultmitigations=off246810Min: 5.51 / Avg: 5.93 / Max: 6.1Min: 5.47 / Avg: 5.95 / Max: 6.07

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillDefaultmitigations=off510152025SE +/- 0.17, N = 3SE +/- 0.22, N = 321.7821.721. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillDefaultmitigations=off510152025Min: 21.53 / Avg: 21.78 / Max: 22.1Min: 21.34 / Avg: 21.72 / Max: 22.11. (CXX) g++ options: -O3 -lsnappy -lpthread

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadDefaultmitigations=off3M6M9M12M15MSE +/- 68526.21, N = 3SE +/- 122312.88, N = 315399065153602631. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadDefaultmitigations=off3M6M9M12M15MMin: 15299528 / Avg: 15399065.33 / Max: 15530423Min: 15230581 / Avg: 15360263.33 / Max: 156047381. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillDefaultmitigations=off918273645SE +/- 0.32, N = 3SE +/- 0.40, N = 340.640.71. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillDefaultmitigations=off816243240Min: 40 / Avg: 40.6 / Max: 41.1Min: 40 / Avg: 40.7 / Max: 41.41. (CXX) g++ options: -O3 -lsnappy -lpthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantDefaultmitigations=off80K160K240K320K400KSE +/- 2930.70, N = 3SE +/- 3208.53, N = 3380202379278
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantDefaultmitigations=off70K140K210K280K350KMin: 374344 / Avg: 380202 / Max: 383304Min: 372873 / Avg: 379278 / Max: 382821

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeDefaultmitigations=off918273645SE +/- 0.36, N = 3SE +/- 0.15, N = 341.441.31. chrome 87.0.4280.66
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeDefaultmitigations=off918273645Min: 40.9 / Avg: 41.4 / Max: 42.1Min: 41.1 / Avg: 41.33 / Max: 41.61. chrome 87.0.4280.66

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetDefaultmitigations=off120K240K360K480K600KSE +/- 5187.16, N = 3SE +/- 4684.34, N = 3571566570229
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetDefaultmitigations=off100K200K300K400K500KMin: 561209 / Avg: 571566.33 / Max: 577259Min: 560861 / Avg: 570228.67 / Max: 575032

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Defaultmitigations=off1.6M3.2M4.8M6.4M8MSE +/- 9427.45, N = 3SE +/- 8557.00, N = 375418007559163
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Defaultmitigations=off1.3M2.6M3.9M5.2M6.5MMin: 7523060 / Avg: 7541800 / Max: 7552970Min: 7542050 / Avg: 7559163.33 / Max: 7567850

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyDefaultmitigations=off48121620SE +/- 0.15, N = 12SE +/- 0.15, N = 1016.7316.76
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyDefaultmitigations=off48121620Min: 15.13 / Avg: 16.73 / Max: 16.95Min: 15.42 / Avg: 16.76 / Max: 17.14

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 20200916Target: CPU - Model: resnet18Defaultmitigations=off510152025SE +/- 0.03, N = 3SE +/- 0.12, N = 321.6721.71MIN: 19.05 / MAX: 33.57MIN: 19.09 / MAX: 33.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Defaultmitigations=off510152025Min: 21.63 / Avg: 21.67 / Max: 21.72Min: 21.54 / Avg: 21.71 / Max: 21.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeDefaultmitigations=off48121620SE +/- 0.18, N = 3SE +/- 0.24, N = 416.4216.391. chrome 87.0.4280.66
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeDefaultmitigations=off48121620Min: 16.05 / Avg: 16.42 / Max: 16.62Min: 15.69 / Avg: 16.39 / Max: 16.731. chrome 87.0.4280.66

LibreOffice

Various benchmarking operations with the LibreOffice open-source office suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFDefaultmitigations=off1.2512.5023.7535.0046.255SE +/- 0.060, N = 7SE +/- 0.068, N = 65.5505.5601. LibreOffice 7.0.2.2 00(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFDefaultmitigations=off246810Min: 5.45 / Avg: 5.55 / Max: 5.9Min: 5.48 / Avg: 5.56 / Max: 5.91. LibreOffice 7.0.2.2 00(Build:2)

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 20200916Target: CPU - Model: vgg16Defaultmitigations=off1632486480SE +/- 0.06, N = 3SE +/- 0.05, N = 372.3572.22MIN: 67.45 / MAX: 84.7MIN: 67.29 / MAX: 86.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Defaultmitigations=off1428425670Min: 72.28 / Avg: 72.35 / Max: 72.48Min: 72.12 / Avg: 72.22 / Max: 72.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasDefaultmitigations=off816243240SE +/- 0.25, N = 3SE +/- 0.26, N = 334.2334.17
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasDefaultmitigations=off714212835Min: 33.74 / Avg: 34.23 / Max: 34.55Min: 33.65 / Avg: 34.17 / Max: 34.5

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceDefaultmitigations=off1122334455SE +/- 0.17, N = 3SE +/- 0.17, N = 349.0149.09
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceDefaultmitigations=off1020304050Min: 48.7 / Avg: 49.01 / Max: 49.28Min: 48.77 / Avg: 49.09 / Max: 49.34

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurDefaultmitigations=off1122334455SE +/- 0.19, N = 3SE +/- 0.14, N = 350.7250.81
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurDefaultmitigations=off1020304050Min: 50.35 / Avg: 50.72 / Max: 50.91Min: 50.55 / Avg: 50.81 / Max: 51.01

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 20200916Target: CPU - Model: squeezenetDefaultmitigations=off612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 326.3026.26MIN: 25.52 / MAX: 37.67MIN: 25.52 / MAX: 36.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetDefaultmitigations=off612182430Min: 26.24 / Avg: 26.3 / Max: 26.34Min: 26.23 / Avg: 26.26 / Max: 26.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetDefaultmitigations=off510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 318.9018.92MIN: 17.54 / MAX: 30.13MIN: 17.54 / MAX: 31.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetDefaultmitigations=off510152025Min: 18.87 / Avg: 18.9 / Max: 18.94Min: 18.88 / Avg: 18.92 / Max: 18.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonDefaultmitigations=off20406080100SE +/- 0.26, N = 3SE +/- 0.13, N = 378.8578.91
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonDefaultmitigations=off1530456075Min: 78.35 / Avg: 78.85 / Max: 79.24Min: 78.65 / Avg: 78.91 / Max: 79.08

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesDefaultmitigations=off918273645SE +/- 0.27, N = 3SE +/- 0.34, N = 338.2638.29
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesDefaultmitigations=off816243240Min: 37.71 / Avg: 38.26 / Max: 38.54Min: 37.61 / Avg: 38.29 / Max: 38.7

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropDefaultmitigations=off246810SE +/- 0.017, N = 3SE +/- 0.014, N = 37.3647.360
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropDefaultmitigations=off3691215Min: 7.33 / Avg: 7.36 / Max: 7.39Min: 7.34 / Avg: 7.36 / Max: 7.39

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEDefaultmitigations=off11K22K33K44K55KSE +/- 686.39, N = 3SE +/- 706.42, N = 350508.5950493.771. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEDefaultmitigations=off9K18K27K36K45KMin: 49812.78 / Avg: 50508.59 / Max: 51881.32Min: 49753.83 / Avg: 50493.77 / Max: 51906.081. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Selenium

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxDefaultmitigations=off1.19252.3853.57754.775.9625SE +/- 0.03, N = 3SE +/- 0.03, N = 35.35.31. firefox 83.0
OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxDefaultmitigations=off246810Min: 5.2 / Avg: 5.27 / Max: 5.3Min: 5.2 / Avg: 5.27 / Max: 5.31. firefox 83.0

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyDefaultmitigations=off0.04430.08860.13290.17720.2215SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1970.197
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyDefaultmitigations=off12345Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.2 / Avg: 0.2 / Max: 0.2

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillDefaultmitigations=off200K400K600K800K1000KSE +/- 16769.20, N = 15SE +/- 16344.16, N = 159911989880811. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillDefaultmitigations=off200K400K600K800K1000KMin: 944051 / Avg: 991198 / Max: 1222525Min: 944372 / Avg: 988081.47 / Max: 12112731. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

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 20200916Target: CPU - Model: efficientnet-b0Defaultmitigations=off3691215SE +/- 0.06, N = 3SE +/- 1.38, N = 311.5610.07MIN: 11.31 / MAX: 24.01MIN: 7.27 / MAX: 11.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Defaultmitigations=off3691215Min: 11.46 / Avg: 11.56 / Max: 11.67Min: 7.3 / Avg: 10.07 / Max: 11.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetDefaultmitigations=off246810SE +/- 0.06, N = 3SE +/- 0.93, N = 37.987.02MIN: 7.59 / MAX: 11.99MIN: 5.06 / MAX: 12.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetDefaultmitigations=off3691215Min: 7.92 / Avg: 7.98 / Max: 8.1Min: 5.15 / Avg: 7.02 / Max: 7.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Defaultmitigations=off1.24652.4933.73954.9866.2325SE +/- 0.09, N = 3SE +/- 0.61, N = 35.544.98MIN: 4.36 / MAX: 15.93MIN: 3.66 / MAX: 8.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Defaultmitigations=off246810Min: 5.37 / Avg: 5.54 / Max: 5.63Min: 3.75 / Avg: 4.98 / Max: 5.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Defaultmitigations=off246810SE +/- 1.01, N = 3SE +/- 1.00, N = 36.556.56MIN: 4.46 / MAX: 11.88MIN: 4.47 / MAX: 11.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Defaultmitigations=off3691215Min: 4.53 / Avg: 6.55 / Max: 7.57Min: 4.56 / Avg: 6.56 / Max: 7.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Defaultmitigations=off246810SE +/- 0.92, N = 3SE +/- 0.76, N = 37.236.99MIN: 5.31 / MAX: 16.34MIN: 5.32 / MAX: 16.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Defaultmitigations=off3691215Min: 5.42 / Avg: 7.23 / Max: 8.45Min: 5.47 / Avg: 6.99 / Max: 7.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Defaultmitigations=off246810SE +/- 0.544, N = 3SE +/- 0.499, N = 37.1987.088MIN: 4.99 / MAX: 25.26MIN: 4.96 / MAX: 14.881. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Defaultmitigations=off3691215Min: 6.11 / Avg: 7.2 / Max: 7.77Min: 6.09 / Avg: 7.09 / Max: 7.591. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeDefaultmitigations=off3691215SE +/- 0.148, N = 15SE +/- 0.110, N = 129.5119.391
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeDefaultmitigations=off3691215Min: 8.19 / Avg: 9.51 / Max: 11.19Min: 8.19 / Avg: 9.39 / Max: 9.61

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyDefaultmitigations=off246810SE +/- 0.157, N = 15SE +/- 0.156, N = 157.1087.115
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyDefaultmitigations=off3691215Min: 5.48 / Avg: 7.11 / Max: 7.47Min: 5.49 / Avg: 7.11 / Max: 7.44

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonDefaultmitigations=off8001600240032004000SE +/- 56.90, N = 20SE +/- 17.53, N = 438673476
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonDefaultmitigations=off7001400210028003500Min: 3381 / Avg: 3867.2 / Max: 4334Min: 3425 / Avg: 3476.25 / Max: 3502

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomDefaultmitigations=off1.32172.64343.96515.28686.6085SE +/- 0.171, N = 14SE +/- 0.145, N = 155.8745.7021. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomDefaultmitigations=off246810Min: 4.38 / Avg: 5.87 / Max: 6.31Min: 4.33 / Avg: 5.7 / Max: 6.061. (CXX) g++ options: -O3 -lsnappy -lpthread

Default

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 24 November 2020 15:31 by user phoronix.

mitigations=off

Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.0.3 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel UHD 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201

OS: Ubuntu 20.10, Kernel: 5.10.0-051000rc5daily20201124-generic (x86_64) 20201123, Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1200

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 25 November 2020 05:37 by user phoronix.