Core i9 10900K Mitigations

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December 29 2020
  6 Hours, 28 Minutes
mitigations=off
December 29 2020
  6 Hours, 45 Minutes
Ryzen 9 5950X: Default
December 30 2020
  14 Hours, 11 Minutes
Ryzen 9 5950X: mitigations=off
December 31 2020
  11 Hours, 34 Minutes
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Core i9 10900K MitigationsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=offIntel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCH16GBSamsung SSD 970 EVO 250GBGigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1900/875MHz)Realtek ALC1220ASUS MG28UIntel + Intel Wi-Fi 6 AX201Ubuntu 20.105.11.0-rc1-phx (x86_64) 20201228GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext43840x2160AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS)AMD Starship/Matisse500GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX2005.10.4-051004-generic (x86_64)amdgpu 19.1.0Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCHSamsung SSD 970 EVO 250GB + 500GBGigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1900/875MHz)Realtek ALC1220Intel + Intel Wi-Fi 6 AX201modesetting 1.20.9OpenBenchmarking.orgCompiler Details- --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 Details- Default: NONE / errors=remount-ro,relatime,rw / Block Size: 4096- mitigations=off: NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Ryzen 9 5950X: Default: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096- Ryzen 9 5950X: mitigations=off: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096- Core i9 10900K: Default: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096- Core i9 10900K: mitigations=off: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 2.3- mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 2.3- Ryzen 9 5950X: Default: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009- Ryzen 9 5950X: mitigations=off: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009- Core i9 10900K: Default: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 2.3- Core i9 10900K: mitigations=off: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 2.3Java Details- OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Details- Python 3.8.6Security Details- Default: itlb_multihit: KVM: Mitigation of VMX disabled + 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: KVM: Mitigation of VMX disabled + 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 - Ryzen 9 5950X: 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 9 5950X: 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 - Core i9 10900K: Default: itlb_multihit: KVM: Mitigation of VMX disabled + 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 - Core i9 10900K: mitigations=off: itlb_multihit: KVM: Mitigation of VMX disabled + 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

Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=offResult OverviewPhoronix Test Suite100%119%137%156%LevelDBTensorFlow LiteFacebook RocksDBperf-benchRenaissanceEthrStress-NGDarktablelibrsvgLibreOfficeMobile Neural NetworkWireGuard + Linux Networking Stack Stress TestCryptsetupPostMarkRawTherapeeGNU Octave BenchmarkSeleniumSockperfSQLite Speedtestctx_clockPyPerformanceGIMPDaCapo BenchmarkG'MICNCNN

Core i9 10900K Mitigationsleveldb: Fill Syncstress-ng: Mallocleveldb: Rand Fillleveldb: Overwriteperf-bench: Epoll Waitleveldb: Seq Fillstress-ng: MMAPstress-ng: Memory Copyingrocksdb: Rand Fillleveldb: Rand Deleteperf-bench: Memset 1MBstress-ng: SENDFILErocksdb: Rand Fill Syncleveldb: Fill Syncethr: HTTP - Bandwidth - 1leveldb: Seek Randrocksdb: Rand Readethr: HTTP - Bandwidth - 8cryptsetup: AES-XTS 256b Decryptionior: Read Testcryptsetup: AES-XTS 256b Encryptionperf-bench: Futex Lock-Pitensorflow-lite: Mobilenet Floatethr: TCP - Connections/s - 1ethr: TCP - Latency - 8stress-ng: CPU Stresspyperformance: python_startupethr: TCP - Latency - 1stress-ng: CPU Cachemlpack: scikit_linearridgeregressionstress-ng: Semaphorestensorflow-lite: SqueezeNettensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4ior: Write Testcryptsetup: AES-XTS 512b Decryptiontensorflow-lite: Mobilenet Quantcryptsetup: AES-XTS 512b Encryptionmnn: mobilenet-v1-1.0leveldb: Rand Readecp-candle: P3B2basis: UASTC Level 3leveldb: Hot Readperf-bench: Memcpy 1MBdarktable: Server Room - CPU-onlyleveldb: Rand Fillbasis: UASTC Level 2dacapobench: Tradebeansperf-bench: Sched Pipekvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Faststress-ng: Socket Activitynumenta-nab: Relative Entropyleveldb: Seq Fillselenium: WASM collisionDetection - Firefoxmnn: SqueezeNetV1.0stress-ng: System V Message Passingleveldb: Overwritesockperf: Throughputtensorflow-lite: NASNet Mobilenumenta-nab: Earthgecko Skylinemnn: MobileNetV2_224build-linux-kernel: Time To Compileiperf: 5201 - 60 Seconds - TCP - 5ncnn: CPU - mobilenetiperf: 5201 - 60 Seconds - TCP - 1rocksdb: Read While Writingdarktable: Masskrug - CPU-onlyselenium: StyleBench - Google Chromenumenta-nab: Bayesian Changepointstress-ng: NUMAncnn: CPU - regnety_400mstress-ng: Forkingselenium: WASM collisionDetection - Google Chromeneat: kvazaar: Bosphorus 1080p - Ultra Fastselenium: Kraken - Firefoxkvazaar: Bosphorus 1080p - Very Fastgmic: 3D Elevated Function In Rand Colors, 100 Timesgimp: rotateselenium: WASM imageConvolute - Firefoxselenium: Octane - Firefoxnumenta-nab: Windowed Gaussianrsvg: SVG Files To PNGlibreoffice: 20 Documents To PDFperf-bench: Futex Hashselenium: Jetstream - Firefoxtnn: CPU - MobileNet v2ncnn: CPU - squeezenet_ssdperf-bench: Syscall Basicselenium: Kraken - Google Chromeecp-candle: P3B1tnn: CPU - SqueezeNet v1.1ocrmypdf: Processing 60 Page PDF Documentmlpack: scikit_svmselenium: ARES-6 - Firefoxstress-ng: MEMFDecp-candle: P1B2selenium: Speedometer - Firefoxwireguard: selenium: Jetstream 2 - Firefoxcryptsetup: PBKDF2-sha512rocksdb: Seq Fillgmic: 2D Function Plotting, 1000 Timesselenium: Speedometer - Google Chromeselenium: Octane - Google Chromedacapobench: Jythonsimdjson: LargeRandpostmark: Disk Transaction Performancerawtherapee: Total Benchmark Timencnn: CPU - blazefacencnn: CPU - yolov4-tinyoctave-benchmark: unpack-firefox: firefox-84.0.source.tar.xzpyperformance: pathlibncnn: CPU-v2-v2 - mobilenet-v2webp: Quality 100, Losslessdacapobench: Tradesoapselenium: StyleBench - Firefoxgegl: Scalesqlite-speedtest: Timed Time - Size 1,000webp: Quality 100, Lossless, Highest Compressionselenium: ARES-6 - Google Chromencnn: CPU - efficientnet-b0selenium: WASM imageConvolute - Google Chromeselenium: PSPDFKit WASM - Firefoxbuild-eigen: Time To Compilemnn: resnet-v2-50pyperformance: regex_compilepyperformance: crypto_pyaesncnn: CPU - alexnetctx-clock: Context Switch Timemnn: inception-v3mlpack: scikit_icarenaissance: Twitter HTTP Requestswebp: Quality 100, Highest Compressionselenium: Jetstream - Google Chromehugin: Panorama Photo Assistant + Stitching Timeethr: UDP - Bandwidth - 8cryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Serpent-XTS 256b Encryptioncryptsetup: Serpent-XTS 512b Encryptionncnn: CPU - vgg16selenium: WebXPRT - Google Chromegimp: resizencnn: CPU - resnet18selenium: Jetstream 2 - Google Chromenode-web-tooling: numenta-nab: EXPoSEkeydb: gimp: unsharp-maskncnn: CPU-v3-v3 - mobilenet-v3selenium: PSPDFKit WASM - Google Chromegmic: Plotting Isosurface Of A 3D Volume, 1000 Timescryptsetup: Twofish-XTS 512b Encryptionncnn: CPU - mnasnetsimdjson: DistinctUserIDinfluxdb: 64 - 10000 - 2,5000,1 - 10000cryptsetup: Twofish-XTS 256b Encryptiongegl: Reflectncnn: CPU - googlenetcryptsetup: Twofish-XTS 256b Decryptioncryptsetup: PBKDF2-whirlpoolcryptsetup: Twofish-XTS 512b Decryptionsimdjson: PartialTweetsgimp: auto-levelsmlpack: scikit_qdancnn: CPU - shufflenet-v2ncnn: CPU - resnet50selenium: CanvasMark - Google Chromedarktable: Boat - CPU-onlyselenium: CanvasMark - Firefoxstress-ng: RdRandiperf: 5201 - 60 Seconds - UDP - 5iperf: 5201 - 60 Seconds - UDP - 1influxdb: 4 - 10000 - 2,5000,1 - 10000gegl: Cropgegl: Rotate 90 Degreesbuild2: Time To Compilebuild-llvm: Time To Compilesimdjson: Kostyastress-ng: Context Switchingstress-ng: Atomicrenaissance: In-Memory Database Shootoutsockperf: Latency Under Loadsockperf: Latency Ping Pongethr: TCP - Connections/s - 8ethr: TCP - Bandwidth - 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off6524.81172003704.6346.91546.80910972744.946241.603361.26101979243.73558.628257263735.2028740.32089.1210.023699700826082.814525.54519.7911114070145209.556959.396.439.5721.651388606.63167360213833323716873698.71172273694.52.9428.0307.95536.5396363.59747.123992784548411.7049.2422.34.36413144633.5347.26976421468992.86016.4830561464.04939.8338.7213.0671711.76343.89051029.954.42610.33227.22411817.0706.4056403811191.8617.7322067949747.542.641160.57113176.04490.4852127724153693787.331146630173310842953.5321.5723.815.82713.94.982895102.346.22815.425.9327.5553292925.46213584.412.0514929.5822001.081292.10237377.33333333960.2960.8980.3982.561.692896.76413.50168.87312.5023.89315715.782539.53.79538.112.99537.1903425539.610.2774.3324.14493213.9655009195284.824050086.13218337.493002.05315.8873.06595583118119.2000000016544.98671837797.8745.30445.61111536943.277239.623494.3198297842.68157.954592265063.2628770.32164.399.709694082046159.124456.04432.9890113961151638.656956.126.448.6721.481379732.10167456213872723717633617.31171783621.52.8767.9448.12935.8846033.59548.824002895708399.3851.1426.24.40611215845.9048.56906881468472.80716.2030115564.05039.2340.8913.2871842.74346.0508954.853.79110.27624.92623817.0136.5156768901209.2317.9526676709751.140.571193.07117172.57396.2072075020155990987.628147628233338872353.4741.6324.095.88113.24.99284310445.69215.455.9627.5915280425.06612982.512.0914829.4111984.593294.45239281.73333333939.5938.9959.6955.361.892836.78213.70166.09012.4493.87316715.744526.13.80527.013.30525.9880663527.710.2354.3724.53491813.9695012195286.9811509999.36241268.872574.74817.3482.78394763120181.51111111835.855260306892.02163.263141.50950003112.39094.881440.4444135099.70926.564896359445.15310344.21108.6118.9211321823053244.392759.9536.352756.849462434.7828115.8012619.9111.515.7437.642.242470538.4094228.212318951343853499.042368.967631.72374.64.84113.172622.27628.00013.09622.8471905.72630.715.839368818942229.2853.4312136.8511.46034.0300.96.37215055413.3033.393994810375065.6633.99647.4409282911.819152342328105.66054.723.005440.9717.7095409.42251.31189.616174.10901.593.1041.12212.25524.2245086.52421.9124.9955371797184.92213.41814.4723572165600.31269.152207.95012.69816.5949.461389.5933.568122152.04984.78824730651346668103.6381737356329960.61987246.2481.8020.925.20613.48812.64.3712.835261591.44.77846.22626.97217.475.2824.7135316562.02127.83512175.710.8613626.79139.581977.0975.401318.5935.691218301.111111111010.31012.11023.41024.457.982786.29914.33178.26414.97614.771825138.9813.0344.06306015.466521.33.910.931802411.6522.223.65013.01539.6901880539.40.9010.28462.484.4124.42497114.03050025.241.051098168.06.62633.600126.404426.6780.648700447.10194606.186403.57213.7244.45264845152793.11111111807.384253744299.87147.78497.8174847496.385105.531443.2041709796.23526.554059421650.47434004.31112.4618.4751292658373274.395202.9523.435142.850862311.9847514.4112579.4511.514.0136.622.242405359.9794171.912084471341527497.834141.267611.24124.54.89012.893619.39728.05712.73723.0174125.68934.616.005366625154729.4353.5312211.9511.75436.7284.16.36315251167.9036.1100485810398866.3683.99846.1609978812.049802335934655.58154.922.777445.7018.0298760.24253.50739.694175.70760.993.4140.4729.18220.6312926.54221.9874.9985546247238.49214.60414.4226692283597.11267.493210.29812.57916.4941.461411.7634.028136146.835101.38724442751549207103.4871727231629910.60974345.8201.8321.085.12613.48012.34.4012.793259399.44.68841.52927.07717.205.3125.2211282162.23227.73612175.811.1913626.69139.441842.6105.425320.2635.746218250.222222221022.01022.11038.91040.157.732786.34114.46172.68815.05621.491867718.9312.9624.10303815.304523.23.920.901799776.4522.823.51613.06539.9890644540.70.8810.18662.284.4224.51497113.99449825.241.051073941.09.66430.172130.284420.9150.688984635.34194610.873584.64912.2694.30564179156363.33333333765.88772109347.5347.16147.18113024045.05297.843576.8297133243.92158.269774206162.17260892.91945.269.894697934526056.144333.5285.464321.3911114240142539.946910.426.579.9320.744.001386724.6716748021392532372400282.423564.61174673559.42.9257.957376.09546.1238.01835.9128663.60946.925.089240326442719.3535.408739.6916.57649.1421.14.32510393796.9146.969987814863392.2892.80565.6067296116.786922531279264.05139.831.899321.7313.3678020.65336.966513.056129.531028.169.1654.30110.20026.8237808.45416.8686.1456608464192.31273.45618.2921178885744.71008.966260.18815.69920.5242.901189.5840.679113174.94188.3552076388154915187.5001476292835180.52851553.5261.6023.865.90015.48114.05.0014.6122889101.35.31547.15030.58715.575.9727.9018295869.82624.94313484.312.0615129.53843.092032.2015.937294.1039.193239152.55555556932.9933.1952.6954.161.652686.72413.48168.66414.09639.209858089.2412.4223.92317515.935526.03.830.921857492.1525.524.13712.99527.1880663527.00.910.18463.194.3924.55492214.0505009195294.735.241.051803342.07.08931.602116.181515.6190.826014923.66226005.833000.10516.1623.19295433112473.28888889754.18171950746.9845.94346.10912909144.26897.843611.8499123043.27059.498776206184.80265322.92012.4610.026697344566105.794499.1319.804487.8911114160149039.006913.686.339.0321.374.031388620.5416746021385232371900304.713683.01171743682.12.9138.071375.44446.1027.96536.5917953.59048.125.153242028522019.3135.258068.9017.31350.0424.44.32110838871.5247.975160914790794.0122.79765.7627007616.277002230276844.04139.6331.420318.5213.2176501.00345.140813.022129.92950.669.2054.22010.06824.8257748.58316.7806.1887002875209.81271.48117.7926034746747.01013.226260.51415.59520.3540.091194.7840.561116173.44094.0082073652160354387.6431476209433180.52872353.2521.5923.855.84515.32814.14.9814.4922961102.65.32344.41730.02415.465.9727.6723281368.13424.99513583.912.0715029.55143.621997.4395.949291.5339.171232541.60000000951.6952.1971.5973.362.502746.59913.46169.47414.19654.444877183.7912.2633.88315115.788533.73.810.921857326.5533.724.17212.95535.6880170534.70.910.05863.674.3924.22492313.9014976195286.535.241.051807338.57.11831.556116.295522.3820.8211702851.04227192.552870.90618.3613.16096930117406.13333333OpenBenchmarking.org

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off14002800420056007000SE +/- 11.96, N = 3SE +/- 19.20, N = 3SE +/- 8.06, N = 3SE +/- 1.43, N = 3SE +/- 1.48, N = 3SE +/- 1.19, N = 36524.816544.99835.86807.38765.89754.181. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off11002200330044005500Min: 6507.24 / Avg: 6524.81 / Max: 6547.65Min: 6513.4 / Avg: 6544.99 / Max: 6579.7Min: 821.41 / Avg: 835.86 / Max: 849.27Min: 804.71 / Avg: 807.38 / Max: 809.59Min: 763.03 / Avg: 765.89 / Max: 767.96Min: 752.22 / Avg: 754.18 / Max: 756.331. (CXX) g++ options: -O3 -lsnappy -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: MallocDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off60M120M180M240M300MSE +/- 22238.65, N = 3SE +/- 15102.83, N = 3SE +/- 442860.01, N = 3SE +/- 194079.60, N = 3SE +/- 9630.32, N = 3SE +/- 50459.36, N = 372003704.6371837797.87260306892.02253744299.8772109347.5371950746.981. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off50M100M150M200M250MMin: 71960304.4 / Avg: 72003704.63 / Max: 72033830.19Min: 71810987.11 / Avg: 71837797.87 / Max: 71863252.06Min: 259579022.18 / Avg: 260306892.02 / Max: 261107895.68Min: 253405932.93 / Avg: 253744299.87 / Max: 254078199.85Min: 72099427.93 / Avg: 72109347.53 / Max: 72128605.25Min: 71856166.59 / Avg: 71950746.98 / Max: 72028522.481. (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: Random FillDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off4080120160200SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 42.52, N = 12SE +/- 52.83, N = 12SE +/- 0.14, N = 3SE +/- 0.04, N = 346.9245.30163.26147.7847.1645.941. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150Min: 46.72 / Avg: 46.92 / Max: 47.06Min: 45.18 / Avg: 45.3 / Max: 45.41Min: 92.61 / Avg: 163.26 / Max: 488.48Min: 85.39 / Avg: 147.78 / Max: 728.72Min: 46.89 / Avg: 47.16 / Max: 47.36Min: 45.87 / Avg: 45.94 / Max: 45.991. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 41.76, N = 12SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 346.8145.61141.5197.8247.1846.111. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150Min: 46.52 / Avg: 46.81 / Max: 47.02Min: 45.48 / Avg: 45.61 / Max: 45.75Min: 74.32 / Avg: 141.51 / Max: 600.12Min: 97.64 / Avg: 97.82 / Max: 97.95Min: 46.93 / Avg: 47.18 / Max: 47.45Min: 45.83 / Avg: 46.11 / Max: 46.321. (CXX) g++ options: -O3 -lsnappy -lpthread

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Epoll WaitDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30K60K90K120K150KSE +/- 646.35, N = 3SE +/- 1457.11, N = 3SE +/- 101.34, N = 3SE +/- 48.84, N = 3SE +/- 137.38, N = 3SE +/- 585.92, N = 31097271153695000348474130240129091-lslang -llzma-lslang -llzma1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Epoll WaitDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20K40K60K80K100KMin: 108698 / Avg: 109726.67 / Max: 110919Min: 112497 / Avg: 115369 / Max: 117233Min: 49802 / Avg: 50003 / Max: 50126Min: 48398 / Avg: 48473.67 / Max: 48565Min: 129994 / Avg: 130240 / Max: 130469Min: 128387 / Avg: 129090.67 / Max: 1302541. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 13.29, N = 12SE +/- 0.69, N = 11SE +/- 0.06, N = 3SE +/- 0.37, N = 944.9543.28112.3996.3945.0544.271. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100Min: 44.84 / Avg: 44.95 / Max: 45.16Min: 43.15 / Avg: 43.28 / Max: 43.36Min: 79.88 / Avg: 112.39 / Max: 257.22Min: 93.06 / Avg: 96.38 / Max: 99.84Min: 44.97 / Avg: 45.05 / Max: 45.16Min: 43.28 / Avg: 44.27 / Max: 47.141. (CXX) g++ options: -O3 -lsnappy -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: MMAPDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off50100150200250SE +/- 2.30, N = 15SE +/- 3.59, N = 14SE +/- 19.37, N = 15SE +/- 21.03, N = 15SE +/- 0.48, N = 3SE +/- 1.10, N = 3241.60239.6294.88105.5397.8497.84-laio -lbsd-laio -lbsd1. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off4080120160200Min: 225.39 / Avg: 241.6 / Max: 253.48Min: 211.07 / Avg: 239.62 / Max: 255.19Min: 6.45 / Avg: 94.88 / Max: 221.86Min: 7.19 / Avg: 105.53 / Max: 222.23Min: 96.92 / Avg: 97.84 / Max: 98.53Min: 95.7 / Avg: 97.84 / Max: 99.361. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off8001600240032004000SE +/- 49.29, N = 3SE +/- 4.47, N = 3SE +/- 1.06, N = 3SE +/- 2.01, N = 3SE +/- 44.16, N = 4SE +/- 31.84, N = 33361.263494.311440.441443.203576.823611.84-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off6001200180024003000Min: 3284.02 / Avg: 3361.26 / Max: 3452.92Min: 3487.57 / Avg: 3494.31 / Max: 3502.76Min: 1438.63 / Avg: 1440.44 / Max: 1442.29Min: 1440.67 / Avg: 1443.2 / Max: 1447.16Min: 3476.14 / Avg: 3576.82 / Max: 3682.51Min: 3549.79 / Avg: 3611.84 / Max: 3655.261. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off200K400K600K800K1000KSE +/- 13115.19, N = 3SE +/- 11756.21, N = 6SE +/- 55548.18, N = 15SE +/- 61583.28, N = 15SE +/- 5987.63, N = 3SE +/- 11968.80, N = 310197929829784413504170979713329912301. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off200K400K600K800K1000KMin: 993615 / Avg: 1019792.33 / Max: 1034325Min: 934667 / Avg: 982977.5 / Max: 1010790Min: 186312 / Avg: 441349.87 / Max: 880106Min: 52098 / Avg: 417097.33 / Max: 708787Min: 959838 / Avg: 971332.33 / Max: 979989Min: 978829 / Avg: 991229.67 / Max: 10151621. (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: Random DeleteDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.71, N = 3SE +/- 1.06, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 343.7442.6899.7196.2443.9243.271. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100Min: 43.56 / Avg: 43.74 / Max: 43.86Min: 42.33 / Avg: 42.68 / Max: 43.04Min: 98.83 / Avg: 99.71 / Max: 101.11Min: 94.22 / Avg: 96.24 / Max: 97.81Min: 43.74 / Avg: 43.92 / Max: 44.08Min: 43.07 / Avg: 43.27 / Max: 43.631. (CXX) g++ options: -O3 -lsnappy -lpthread

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memset 1MBDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1326395265SE +/- 0.51, N = 3SE +/- 0.43, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 358.6357.9526.5626.5558.2759.50-lslang -llzma-lslang -llzma1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma
OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memset 1MBDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1224364860Min: 57.65 / Avg: 58.63 / Max: 59.36Min: 57.4 / Avg: 57.95 / Max: 58.81Min: 26.56 / Avg: 26.56 / Max: 26.58Min: 26.53 / Avg: 26.55 / Max: 26.57Min: 57.94 / Avg: 58.27 / Max: 58.62Min: 59.36 / Avg: 59.5 / Max: 59.691. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off90K180K270K360K450KSE +/- 428.39, N = 3SE +/- 1022.80, N = 3SE +/- 16.08, N = 3SE +/- 438.27, N = 3SE +/- 428.43, N = 3SE +/- 433.27, N = 3263735.20265063.26359445.15421650.47206162.17206184.80-laio -lbsd-laio -lbsd1. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off70K140K210K280K350KMin: 263219.82 / Avg: 263735.2 / Max: 264585.63Min: 263965.76 / Avg: 265063.26 / Max: 267106.99Min: 359414.13 / Avg: 359445.15 / Max: 359468.03Min: 420955.28 / Avg: 421650.47 / Max: 422460.43Min: 205720.59 / Avg: 206162.17 / Max: 207018.9Min: 205569.55 / Avg: 206184.8 / Max: 207020.881. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off9K18K27K36K45KSE +/- 4.58, N = 3SE +/- 13.54, N = 3SE +/- 4085.76, N = 15SE +/- 113.05, N = 3SE +/- 65.85, N = 3SE +/- 12.67, N = 328742877310344340026089265321. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off8K16K24K32K40KMin: 2868 / Avg: 2874 / Max: 2883Min: 2851 / Avg: 2876.67 / Max: 2897Min: 6373 / Avg: 31034.07 / Max: 43262Min: 43179 / Avg: 43400.33 / Max: 43551Min: 25957 / Avg: 26088.67 / Max: 26157Min: 26507 / Avg: 26531.67 / Max: 265491. (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: Fill SyncDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off0.96751.9352.90253.874.8375SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 30.30.34.24.32.92.91. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 0.3 / Avg: 0.3 / Max: 0.3Min: 0.3 / Avg: 0.3 / Max: 0.3Min: 4.1 / Avg: 4.2 / Max: 4.3Min: 4.3 / Avg: 4.33 / Max: 4.4Min: 2.8 / Avg: 2.87 / Max: 2.9Min: 2.9 / Avg: 2.9 / Max: 2.91. (CXX) g++ options: -O3 -lsnappy -lpthread

Ethr

Ethr is a cross-platform Golang-written network performance measurement tool developed by Microsoft that is capable of testing multiple protocols and different measurements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbits/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: HTTP - Test: Bandwidth - Threads: 1Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off5001000150020002500SE +/- 3.51, N = 3SE +/- 1.37, N = 3SE +/- 19.36, N = 14SE +/- 1.44, N = 3SE +/- 5.77, N = 3SE +/- 3.42, N = 32089.122164.391108.611112.461945.262012.46MIN: 2060 / MAX: 2140MIN: 2130 / MAX: 2200MIN: 1060 / MAX: 1460MIN: 1080 / MAX: 1160MIN: 1920 / MAX: 1980MIN: 1990 / MAX: 2040
OpenBenchmarking.orgMbits/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: HTTP - Test: Bandwidth - Threads: 1Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off400800120016002000Min: 2082.11 / Avg: 2089.12 / Max: 2092.63Min: 2162.11 / Avg: 2164.39 / Max: 2166.84Min: 1080 / Avg: 1108.61 / Max: 1355.79Min: 1110.53 / Avg: 1112.46 / Max: 1115.26Min: 1936.84 / Avg: 1945.26 / Max: 1956.32Min: 2007.37 / Avg: 2012.46 / Max: 2018.95

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025SE +/- 0.170, N = 3SE +/- 0.049, N = 3SE +/- 0.051, N = 3SE +/- 0.002, N = 3SE +/- 0.036, N = 3SE +/- 0.055, N = 310.0239.70918.92118.4759.89410.0261. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025Min: 9.79 / Avg: 10.02 / Max: 10.36Min: 9.66 / Avg: 9.71 / Max: 9.81Min: 18.82 / Avg: 18.92 / Max: 18.99Min: 18.47 / Avg: 18.48 / Max: 18.48Min: 9.85 / Avg: 9.89 / Max: 9.97Min: 9.92 / Avg: 10.03 / Max: 10.11. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30M60M90M120M150MSE +/- 501038.36, N = 3SE +/- 239369.11, N = 3SE +/- 350963.69, N = 3SE +/- 834199.73, N = 3SE +/- 133905.45, N = 3SE +/- 195140.85, N = 3699700826940820413218230512926583769793452697344561. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20M40M60M80M100MMin: 69462602 / Avg: 69970082 / Max: 70972131Min: 68945525 / Avg: 69408203.67 / Max: 69746028Min: 131756971 / Avg: 132182305 / Max: 132878547Min: 127702783 / Avg: 129265837.33 / Max: 130552650Min: 69650274 / Avg: 69793452.33 / Max: 70061044Min: 69510569 / Avg: 69734455.67 / Max: 701232491. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Ethr

Ethr is a cross-platform Golang-written network performance measurement tool developed by Microsoft that is capable of testing multiple protocols and different measurements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbits/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: HTTP - Test: Bandwidth - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off13002600390052006500SE +/- 27.64, N = 3SE +/- 12.52, N = 3SE +/- 9.94, N = 3SE +/- 6.15, N = 3SE +/- 8.16, N = 3SE +/- 6.54, N = 36082.816159.123244.393274.396056.146105.79MIN: 5860 / MAX: 6160MIN: 6090 / MAX: 6280MIN: 3100 / MAX: 3380MIN: 3170 / MAX: 3400MIN: 5880 / MAX: 6150MIN: 6050 / MAX: 6190
OpenBenchmarking.orgMbits/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: HTTP - Test: Bandwidth - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off11002200330044005500Min: 6027.89 / Avg: 6082.81 / Max: 6115.79Min: 6134.21 / Avg: 6159.12 / Max: 6173.68Min: 3233.16 / Avg: 3244.39 / Max: 3264.21Min: 3262.11 / Avg: 3274.39 / Max: 3281.05Min: 6045.26 / Avg: 6056.14 / Max: 6072.11Min: 6094.74 / Avg: 6105.79 / Max: 6117.37

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off11002200330044005500SE +/- 7.02, N = 3SE +/- 77.50, N = 3SE +/- 4.82, N = 3SE +/- 12.89, N = 3SE +/- 10.27, N = 3SE +/- 48.21, N = 34456.04525.52759.95202.94333.54499.1
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off9001800270036004500Min: 4442.3 / Avg: 4455.97 / Max: 4465.6Min: 4373.2 / Avg: 4525.53 / Max: 4626.5Min: 2751.7 / Avg: 2759.9 / Max: 2768.4Min: 5184.9 / Avg: 5202.93 / Max: 5227.9Min: 4314.6 / Avg: 4333.53 / Max: 4349.9Min: 4437.3 / Avg: 4499.1 / Max: 4594.1

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestDefaultmitigations=off120240360480600SE +/- 4.70, N = 3SE +/- 10.82, N = 3SE +/- 3.96, N = 3SE +/- 0.82, N = 3536.35523.43285.46319.801. (CC) gcc options: -O2 -lm -pthread -lmpi
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestDefaultmitigations=off90180270360450Min: 529.68 / Avg: 536.35 / Max: 545.42Min: 509.64 / Avg: 523.43 / Max: 544.77Min: 277.61 / Avg: 285.46 / Max: 290.32Min: 318.29 / Avg: 319.8 / Max: 321.111. (CC) gcc options: -O2 -lm -pthread -lmpi

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off11002200330044005500SE +/- 15.88, N = 3SE +/- 55.59, N = 3SE +/- 12.75, N = 3SE +/- 17.27, N = 3SE +/- 11.54, N = 3SE +/- 43.30, N = 34432.94519.72756.85142.84321.34487.8
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off9001800270036004500Min: 4403.2 / Avg: 4432.87 / Max: 4457.5Min: 4408.6 / Avg: 4519.73 / Max: 4577.8Min: 2731.9 / Avg: 2756.83 / Max: 2773.9Min: 5112.3 / Avg: 5142.77 / Max: 5172.1Min: 4298.8 / Avg: 4321.27 / Max: 4337.1Min: 4426.2 / Avg: 4487.77 / Max: 4571.3

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Lock-PiDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000SE +/- 21.21, N = 12SE +/- 1.86, N = 3911890494508911911-lslang -llzma-lslang -llzma1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Lock-PiDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off160320480640800Min: 657 / Avg: 890.33 / Max: 912Min: 492 / Avg: 494.33 / Max: 4981. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20K40K60K80K100KSE +/- 151.80, N = 3SE +/- 167.61, N = 3SE +/- 34.99, N = 3SE +/- 36.91, N = 3SE +/- 84.33, N = 3SE +/- 152.69, N = 3114070.0113961.062434.762311.9114240.0114160.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20K40K60K80K100KMin: 113907 / Avg: 114069.67 / Max: 114373Min: 113745 / Avg: 113961 / Max: 114291Min: 62366.4 / Avg: 62434.73 / Max: 62482Min: 62261.8 / Avg: 62311.9 / Max: 62383.9Min: 114073 / Avg: 114240 / Max: 114344Min: 113950 / Avg: 114160 / Max: 114457

Ethr

Ethr is a cross-platform Golang-written network performance measurement tool developed by Microsoft that is capable of testing multiple protocols and different measurements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgConnections/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Connections/s - Threads: 1Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3K6K9K12K15KSE +/- 65.06, N = 3SE +/- 87.62, N = 3SE +/- 103.80, N = 15SE +/- 82.37, N = 15SE +/- 29.06, N = 3SE +/- 44.10, N = 31452015163828184751425314903
OpenBenchmarking.orgConnections/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Connections/s - Threads: 1Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3K6K9K12K15KMin: 14450 / Avg: 14520 / Max: 14650Min: 15000 / Avg: 15163.33 / Max: 15300Min: 7790 / Avg: 8281.33 / Max: 9100Min: 8090 / Avg: 8474.67 / Max: 9110Min: 14200 / Avg: 14253.33 / Max: 14300Min: 14820 / Avg: 14903.33 / Max: 14970

OpenBenchmarking.orgMicroseconds, Fewer Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Latency - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.36, N = 15SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 39.558.6515.8014.419.949.00MIN: 8.68 / MAX: 13.51MIN: 7.8 / MAX: 11.94MIN: 5.83 / MAX: 21.82MIN: 5.45 / MAX: 19.11MIN: 9.07 / MAX: 13.04MIN: 8.38 / MAX: 12.25
OpenBenchmarking.orgMicroseconds, Fewer Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Latency - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 9.49 / Avg: 9.55 / Max: 9.62Min: 8.56 / Avg: 8.65 / Max: 8.7Min: 13.08 / Avg: 15.8 / Max: 18.32Min: 14.06 / Avg: 14.41 / Max: 14.7Min: 9.89 / Avg: 9.94 / Max: 10Min: 8.97 / Avg: 9 / Max: 9.03

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: CPU StressDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3K6K9K12K15KSE +/- 16.64, N = 3SE +/- 23.66, N = 3SE +/- 77.07, N = 3SE +/- 82.16, N = 3SE +/- 20.73, N = 3SE +/- 1.17, N = 36959.396956.1212619.9112579.456910.426913.68-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2K4K6K8K10KMin: 6929.96 / Avg: 6959.39 / Max: 6987.57Min: 6912.17 / Avg: 6956.12 / Max: 6993.29Min: 12488.61 / Avg: 12619.91 / Max: 12755.5Min: 12446.72 / Avg: 12579.45 / Max: 12729.72Min: 6870.99 / Avg: 6910.42 / Max: 6941.22Min: 6911.87 / Avg: 6913.68 / Max: 6915.861. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 36.436.4411.5011.506.576.33
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215Min: 6.43 / Avg: 6.43 / Max: 6.44Min: 6.41 / Avg: 6.44 / Max: 6.49Min: 11.4 / Avg: 11.5 / Max: 11.6Min: 11.4 / Avg: 11.47 / Max: 11.5Min: 6.54 / Avg: 6.57 / Max: 6.61Min: 6.3 / Avg: 6.33 / Max: 6.39

Ethr

Ethr is a cross-platform Golang-written network performance measurement tool developed by Microsoft that is capable of testing multiple protocols and different measurements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Latency - Threads: 1Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.33, N = 15SE +/- 0.01, N = 3SE +/- 0.08, N = 39.578.6715.7414.019.939.03MIN: 8.78 / MAX: 12.94MIN: 7.74 / MAX: 11.76MIN: 6.64 / MAX: 22.13MIN: 5.27 / MAX: 20.02MIN: 9.28 / MAX: 13.22MIN: 8.34 / MAX: 12.47
OpenBenchmarking.orgMicroseconds, Fewer Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Latency - Threads: 1Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 9.5 / Avg: 9.57 / Max: 9.62Min: 8.64 / Avg: 8.67 / Max: 8.72Min: 15.4 / Avg: 15.74 / Max: 16.11Min: 11.92 / Avg: 14.01 / Max: 15.95Min: 9.91 / Avg: 9.93 / Max: 9.96Min: 8.88 / Avg: 9.03 / Max: 9.12

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: CPU CacheDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off918273645SE +/- 0.21, N = 9SE +/- 0.20, N = 10SE +/- 0.44, N = 3SE +/- 0.25, N = 15SE +/- 0.16, N = 3SE +/- 0.08, N = 321.6521.4837.6436.6220.7421.37-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off816243240Min: 20.9 / Avg: 21.65 / Max: 22.83Min: 20.67 / Avg: 21.48 / Max: 22.87Min: 37.03 / Avg: 37.64 / Max: 38.49Min: 35.29 / Avg: 36.62 / Max: 38.62Min: 20.43 / Avg: 20.74 / Max: 20.93Min: 21.23 / Avg: 21.37 / Max: 21.51. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionDefaultmitigations=off0.90681.81362.72043.62724.534SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 32.242.244.004.03
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionDefaultmitigations=off246810Min: 2.22 / Avg: 2.24 / Max: 2.26Min: 2.23 / Avg: 2.24 / Max: 2.26Min: 3.94 / Avg: 4 / Max: 4.04Min: 4.02 / Avg: 4.03 / Max: 4.05

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: SemaphoresDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off500K1000K1500K2000K2500KSE +/- 497.20, N = 3SE +/- 12396.28, N = 3SE +/- 22003.97, N = 3SE +/- 15595.17, N = 3SE +/- 12123.41, N = 3SE +/- 11826.24, N = 31388606.631379732.102470538.402405359.971386724.671388620.54-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off400K800K1200K1600K2000KMin: 1387622.88 / Avg: 1388606.63 / Max: 1389224.26Min: 1367323.02 / Avg: 1379732.1 / Max: 1404524.66Min: 2429895.56 / Avg: 2470538.4 / Max: 2505476.4Min: 2380624.13 / Avg: 2405359.97 / Max: 2434181.81Min: 1362524.18 / Avg: 1386724.67 / Max: 1400122.43Min: 1375657.87 / Avg: 1388620.54 / Max: 1412235.381. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off40K80K120K160K200KSE +/- 19.47, N = 3SE +/- 12.01, N = 3SE +/- 213.66, N = 3SE +/- 226.16, N = 3SE +/- 9.68, N = 3167360.0167456.094228.294171.9167480.0167460.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30K60K90K120K150KMin: 167321 / Avg: 167359.67 / Max: 167383Min: 167432 / Avg: 167456 / Max: 167469Min: 93806.9 / Avg: 94228.2 / Max: 94500.8Min: 93721.4 / Avg: 94171.9 / Max: 94432.3Min: 167469 / Avg: 167479.67 / Max: 167499

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off500K1000K1500K2000K2500KSE +/- 226.96, N = 3SE +/- 68.88, N = 3SE +/- 14224.09, N = 15SE +/- 108.37, N = 3SE +/- 190.29, N = 3SE +/- 85.11, N = 3213833321387271231895120844721392532138523
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off400K800K1200K1600K2000KMin: 2137880 / Avg: 2138333.33 / Max: 2138580Min: 2138590 / Avg: 2138726.67 / Max: 2138810Min: 1208670 / Avg: 1231894.67 / Max: 1376670Min: 1208230 / Avg: 1208446.67 / Max: 1208560Min: 2138960 / Avg: 2139253.33 / Max: 2139610Min: 2138410 / Avg: 2138523.33 / Max: 2138690

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off500K1000K1500K2000K2500KSE +/- 105.88, N = 3SE +/- 40.55, N = 3SE +/- 606.47, N = 3SE +/- 870.33, N = 3SE +/- 98.66, N = 3SE +/- 136.14, N = 3237168723717631343853134152723724002371900
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off400K800K1200K1600K2000KMin: 2371480 / Avg: 2371686.67 / Max: 2371830Min: 2371690 / Avg: 2371763.33 / Max: 2371830Min: 1342870 / Avg: 1343853.33 / Max: 1344960Min: 1339920 / Avg: 1341526.67 / Max: 1342910Min: 2372240 / Avg: 2372400 / Max: 2372580Min: 2371640 / Avg: 2371900 / Max: 2372100

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestDefaultmitigations=off110220330440550SE +/- 0.39, N = 3SE +/- 2.38, N = 3SE +/- 0.86, N = 3SE +/- 0.63, N = 3499.04497.83282.42304.711. (CC) gcc options: -O2 -lm -pthread -lmpi
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestDefaultmitigations=off90180270360450Min: 498.31 / Avg: 499.04 / Max: 499.64Min: 493.31 / Avg: 497.83 / Max: 501.38Min: 280.85 / Avg: 282.42 / Max: 283.8Min: 304 / Avg: 304.71 / Max: 305.971. (CC) gcc options: -O2 -lm -pthread -lmpi

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off9001800270036004500SE +/- 21.22, N = 3SE +/- 53.65, N = 3SE +/- 8.78, N = 3SE +/- 8.53, N = 3SE +/- 11.92, N = 3SE +/- 36.30, N = 33617.33698.72368.94141.23564.63683.0
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off7001400210028003500Min: 3575.1 / Avg: 3617.3 / Max: 3642.3Min: 3592.6 / Avg: 3698.73 / Max: 3765.5Min: 2352.4 / Avg: 2368.93 / Max: 2382.3Min: 4126 / Avg: 4141.17 / Max: 4155.5Min: 3541.3 / Avg: 3564.57 / Max: 3580.7Min: 3637.9 / Avg: 3682.97 / Max: 3754.8

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30K60K90K120K150KSE +/- 174.35, N = 3SE +/- 132.75, N = 3SE +/- 39.56, N = 3SE +/- 53.21, N = 3SE +/- 89.60, N = 3117227.0117178.067631.767611.2117467.0117174.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20K40K60K80K100KMin: 116940 / Avg: 117227 / Max: 117542Min: 116940 / Avg: 117177.67 / Max: 117399Min: 67553.5 / Avg: 67631.73 / Max: 67681.1Min: 67506.6 / Avg: 67611.17 / Max: 67680.6Min: 117077 / Avg: 117174 / Max: 117353

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off9001800270036004500SE +/- 12.45, N = 3SE +/- 51.38, N = 3SE +/- 7.13, N = 3SE +/- 15.58, N = 3SE +/- 15.08, N = 3SE +/- 40.92, N = 33621.53694.52374.64124.53559.43682.1
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off7001400210028003500Min: 3597 / Avg: 3621.53 / Max: 3637.5Min: 3592.8 / Avg: 3694.5 / Max: 3758.1Min: 2361.2 / Avg: 2374.6 / Max: 2385.5Min: 4101.1 / Avg: 4124.47 / Max: 4154Min: 3529.7 / Avg: 3559.43 / Max: 3578.7Min: 3631.6 / Avg: 3682.07 / Max: 3763.1

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.10032.20063.30094.40125.5015SE +/- 0.027, N = 3SE +/- 0.011, N = 3SE +/- 0.013, N = 12SE +/- 0.036, N = 3SE +/- 0.051, N = 3SE +/- 0.046, N = 32.9422.8764.8414.8902.9252.913MIN: 2.8 / MAX: 4.29MIN: 2.78 / MAX: 11.19MIN: 4.69 / MAX: 14.05MIN: 4.75 / MAX: 6.29MIN: 2.78 / MAX: 3.7MIN: 2.78 / MAX: 10.981. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 2.89 / Avg: 2.94 / Max: 2.97Min: 2.85 / Avg: 2.88 / Max: 2.89Min: 4.76 / Avg: 4.84 / Max: 4.9Min: 4.82 / Avg: 4.89 / Max: 4.94Min: 2.86 / Avg: 2.93 / Max: 3.03Min: 2.86 / Avg: 2.91 / Max: 31. (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: Random ReadDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215SE +/- 0.128, N = 3SE +/- 0.091, N = 3SE +/- 0.010, N = 3SE +/- 0.024, N = 3SE +/- 0.094, N = 3SE +/- 0.042, N = 38.0307.94413.17212.8937.9578.0711. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 7.79 / Avg: 8.03 / Max: 8.22Min: 7.77 / Avg: 7.94 / Max: 8.07Min: 13.16 / Avg: 13.17 / Max: 13.19Min: 12.87 / Avg: 12.89 / Max: 12.94Min: 7.81 / Avg: 7.96 / Max: 8.14Min: 7.99 / Avg: 8.07 / Max: 8.141. (CXX) g++ options: -O3 -lsnappy -lpthread

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2Defaultmitigations=off130260390520650622.28619.40376.10375.44

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Defaultmitigations=off1020304050SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 328.0028.0646.1246.101. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Defaultmitigations=off918273645Min: 27.87 / Avg: 28 / Max: 28.08Min: 28 / Avg: 28.06 / Max: 28.1Min: 46.11 / Avg: 46.12 / Max: 46.14Min: 46.08 / Avg: 46.1 / Max: 46.141. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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: Hot ReadDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215SE +/- 0.119, N = 3SE +/- 0.102, N = 3SE +/- 0.045, N = 3SE +/- 0.049, N = 3SE +/- 0.076, N = 6SE +/- 0.089, N = 37.9558.12913.09612.7378.0187.9651. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 7.77 / Avg: 7.95 / Max: 8.18Min: 7.99 / Avg: 8.13 / Max: 8.33Min: 13.01 / Avg: 13.1 / Max: 13.17Min: 12.64 / Avg: 12.74 / Max: 12.8Min: 7.83 / Avg: 8.02 / Max: 8.3Min: 7.79 / Avg: 7.97 / Max: 8.081. (CXX) g++ options: -O3 -lsnappy -lpthread

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memcpy 1MBDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off816243240SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 336.5435.8822.8523.0235.9136.59-lslang -llzma-lslang -llzma1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma
OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memcpy 1MBDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off816243240Min: 36.52 / Avg: 36.54 / Max: 36.56Min: 35.88 / Avg: 35.88 / Max: 35.89Min: 22.71 / Avg: 22.85 / Max: 23.1Min: 22.88 / Avg: 23.02 / Max: 23.17Min: 35.91 / Avg: 35.91 / Max: 35.92Min: 36.55 / Avg: 36.59 / Max: 36.611. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.28842.57683.86525.15366.442SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 33.5973.5955.7265.6893.6093.590
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 3.59 / Avg: 3.6 / Max: 3.6Min: 3.59 / Avg: 3.6 / Max: 3.61Min: 5.72 / Avg: 5.73 / Max: 5.73Min: 5.67 / Avg: 5.69 / Max: 5.7Min: 3.61 / Avg: 3.61 / Max: 3.61Min: 3.58 / Avg: 3.59 / Max: 3.6

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1122334455SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 3.15, N = 12SE +/- 2.75, N = 12SE +/- 0.12, N = 3SE +/- 0.06, N = 347.148.830.734.646.948.11. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1020304050Min: 47 / Avg: 47.13 / Max: 47.3Min: 48.7 / Avg: 48.8 / Max: 48.9Min: 7.2 / Avg: 30.67 / Max: 38.2Min: 4.9 / Avg: 34.63 / Max: 41.4Min: 46.7 / Avg: 46.87 / Max: 47.1Min: 48 / Avg: 48.1 / Max: 48.21. (CXX) g++ options: -O3 -lsnappy -lpthread

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Defaultmitigations=off612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 315.8416.0125.0925.151. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Defaultmitigations=off612182430Min: 15.82 / Avg: 15.84 / Max: 15.86Min: 15.99 / Avg: 16.01 / Max: 16.04Min: 24.98 / Avg: 25.09 / Max: 25.2Min: 25.05 / Avg: 25.15 / Max: 25.331. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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: TradebeansDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off8001600240032004000SE +/- 12.07, N = 4SE +/- 16.22, N = 4SE +/- 17.35, N = 4SE +/- 20.06, N = 4SE +/- 14.98, N = 16SE +/- 28.27, N = 4239924003688366624032420
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off6001200180024003000Min: 2366 / Avg: 2399.25 / Max: 2419Min: 2357 / Avg: 2400 / Max: 2435Min: 3650 / Avg: 3688.25 / Max: 3732Min: 3609 / Avg: 3666.25 / Max: 3699Min: 2306 / Avg: 2402.94 / Max: 2505Min: 2337 / Avg: 2419.75 / Max: 2461

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Sched PipeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off60K120K180K240K300KSE +/- 1826.95, N = 3SE +/- 3287.32, N = 3SE +/- 4407.25, N = 15SE +/- 4814.57, N = 15SE +/- 2812.75, N = 3SE +/- 2938.25, N = 3278454289570189422251547264427285220-lslang -llzma-lslang -llzma1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Sched PipeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off50K100K150K200K250KMin: 276334 / Avg: 278453.67 / Max: 282091Min: 283341 / Avg: 289570.33 / Max: 294506Min: 168966 / Avg: 189422.4 / Max: 237687Min: 213219 / Avg: 251546.67 / Max: 276229Min: 260518 / Avg: 264427 / Max: 269885Min: 280105 / Avg: 285219.67 / Max: 2902831. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastDefaultmitigations=off714212835SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 329.2829.4319.3519.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastDefaultmitigations=off714212835Min: 29.18 / Avg: 29.28 / Max: 29.34Min: 29.34 / Avg: 29.43 / Max: 29.52Min: 19.18 / Avg: 19.35 / Max: 19.59Min: 19.1 / Avg: 19.31 / Max: 19.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastDefaultmitigations=off1224364860SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 353.4353.5335.4035.251. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastDefaultmitigations=off1122334455Min: 53.24 / Avg: 53.43 / Max: 53.56Min: 53.45 / Avg: 53.53 / Max: 53.66Min: 35.25 / Avg: 35.4 / Max: 35.63Min: 35.06 / Avg: 35.25 / Max: 35.461. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3K6K9K12K15KSE +/- 8.06, N = 3SE +/- 68.75, N = 13SE +/- 133.34, N = 5SE +/- 174.90, N = 3SE +/- 57.08, N = 3SE +/- 8.96, N = 38411.708399.3812136.8512211.958739.698068.90-laio -lbsd-laio -lbsd1. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2K4K6K8K10KMin: 8402.48 / Avg: 8411.7 / Max: 8427.76Min: 8133.13 / Avg: 8399.38 / Max: 8904.41Min: 11696.93 / Avg: 12136.85 / Max: 12409.48Min: 11874.63 / Avg: 12211.95 / Max: 12460.82Min: 8633.87 / Avg: 8739.69 / Max: 8829.68Min: 8052.34 / Avg: 8068.9 / Max: 8083.091. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyDefaultmitigations=off48121620SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.22, N = 15SE +/- 0.21, N = 311.4611.7516.5817.31
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyDefaultmitigations=off48121620Min: 11.33 / Avg: 11.46 / Max: 11.56Min: 11.68 / Avg: 11.75 / Max: 11.87Min: 15.2 / Avg: 16.58 / Max: 17.61Min: 16.96 / Avg: 17.31 / Max: 17.68

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1224364860SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 1.99, N = 12SE +/- 0.27, N = 11SE +/- 0.06, N = 3SE +/- 0.40, N = 949.251.134.036.749.150.01. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1020304050Min: 49 / Avg: 49.2 / Max: 49.3Min: 51 / Avg: 51.13 / Max: 51.3Min: 13.8 / Avg: 34 / Max: 44.3Min: 35.4 / Avg: 36.73 / Max: 38Min: 49 / Avg: 49.1 / Max: 49.2Min: 46.9 / Avg: 49.99 / Max: 51.11. (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: WASM collisionDetection - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off90180270360450SE +/- 4.46, N = 3SE +/- 1.33, N = 3SE +/- 1.10, N = 3SE +/- 0.62, N = 3SE +/- 4.14, N = 3SE +/- 0.60, N = 3422.3426.2300.9284.1421.1424.41. firefox 84.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off80160240320400Min: 413.7 / Avg: 422.27 / Max: 428.7Min: 423.5 / Avg: 426.17 / Max: 427.6Min: 298.9 / Avg: 300.9 / Max: 302.7Min: 283.3 / Avg: 284.07 / Max: 285.3Min: 413 / Avg: 421.13 / Max: 426.5Min: 423.6 / Avg: 424.43 / Max: 425.61. firefox 84.0

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810SE +/- 0.022, N = 3SE +/- 0.041, N = 3SE +/- 0.107, N = 12SE +/- 0.075, N = 3SE +/- 0.018, N = 3SE +/- 0.050, N = 34.3644.4066.3726.3634.3254.321MIN: 4.11 / MAX: 5.63MIN: 4.12 / MAX: 7.26MIN: 5.47 / MAX: 12.24MIN: 6.07 / MAX: 14.77MIN: 4.12 / MAX: 4.84MIN: 4.1 / MAX: 5.181. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215Min: 4.34 / Avg: 4.36 / Max: 4.41Min: 4.33 / Avg: 4.41 / Max: 4.46Min: 5.53 / Avg: 6.37 / Max: 7Min: 6.26 / Avg: 6.36 / Max: 6.51Min: 4.3 / Avg: 4.33 / Max: 4.36Min: 4.25 / Avg: 4.32 / Max: 4.421. (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

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: System V Message PassingDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3M6M9M12M15MSE +/- 44037.58, N = 3SE +/- 505695.75, N = 15SE +/- 87079.37, N = 3SE +/- 182289.61, N = 3SE +/- 319564.75, N = 15SE +/- 18094.29, N = 313144633.5311215845.9015055413.3015251167.9010393796.9110838871.52-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3M6M9M12M15MMin: 13092319.9 / Avg: 13144633.53 / Max: 13232153.1Min: 7312371.21 / Avg: 11215845.9 / Max: 12663990.56Min: 14960897.25 / Avg: 15055413.3 / Max: 15229353.96Min: 15023009.71 / Avg: 15251167.9 / Max: 15611511.87Min: 6559391.74 / Avg: 10393796.91 / Max: 10917150.56Min: 10806442.59 / Avg: 10838871.52 / Max: 10868995.831. (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.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1122334455SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 2.72, N = 12SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 347.248.533.336.146.947.91. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1020304050Min: 47 / Avg: 47.2 / Max: 47.5Min: 48.3 / Avg: 48.47 / Max: 48.6Min: 5.9 / Avg: 33.26 / Max: 47.6Min: 36.1 / Avg: 36.13 / Max: 36.2Min: 46.6 / Avg: 46.87 / Max: 47.1Min: 47.7 / Avg: 47.93 / Max: 48.21. (CXX) g++ options: -O3 -lsnappy -lpthread

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off200K400K600K800K1000KSE +/- 2573.23, N = 5SE +/- 5969.19, N = 25SE +/- 9920.97, N = 5SE +/- 3370.35, N = 5SE +/- 11506.94, N = 25SE +/- 8920.45, N = 2569764269068893994810048586998787516091. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off200K400K600K800K1000KMin: 690855 / Avg: 697642.4 / Max: 703617Min: 612709 / Avg: 690687.68 / Max: 729712Min: 908854 / Avg: 939947.8 / Max: 968300Min: 994362 / Avg: 1004857.8 / Max: 1013322Min: 521349 / Avg: 699878.28 / Max: 785221Min: 620905 / Avg: 751608.72 / Max: 8004891. (CXX) g++ options: --param -O3 -rdynamic -ldl -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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30K60K90K120K150KSE +/- 247.35, N = 3SE +/- 98.23, N = 3SE +/- 260.12, N = 3SE +/- 405.35, N = 3SE +/- 1034.02, N = 3SE +/- 327.07, N = 3146899146847103750103988148633147907
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30K60K90K120K150KMin: 146406 / Avg: 146899 / Max: 147181Min: 146669 / Avg: 146847 / Max: 147008Min: 103407 / Avg: 103749.67 / Max: 104260Min: 103426 / Avg: 103988 / Max: 104775Min: 147462 / Avg: 148633.33 / Max: 150695Min: 147414 / Avg: 147907.33 / Max: 148526

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineDefaultmitigations=off20406080100SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.29, N = 3SE +/- 0.73, N = 365.6666.3792.2994.01
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineDefaultmitigations=off20406080100Min: 65.41 / Avg: 65.66 / Max: 65.9Min: 66.09 / Avg: 66.37 / Max: 66.51Min: 91.76 / Avg: 92.29 / Max: 92.76Min: 92.84 / Avg: 94.01 / Max: 95.34

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off0.89961.79922.69883.59844.498SE +/- 0.037, N = 3SE +/- 0.006, N = 3SE +/- 0.041, N = 12SE +/- 0.019, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 32.8602.8073.9963.9982.8052.797MIN: 2.64 / MAX: 3.61MIN: 2.63 / MAX: 3.06MIN: 3.62 / MAX: 13MIN: 3.74 / MAX: 13.84MIN: 2.71 / MAX: 4.44MIN: 2.73 / MAX: 4.381. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 2.82 / Avg: 2.86 / Max: 2.93Min: 2.8 / Avg: 2.81 / Max: 2.82Min: 3.74 / Avg: 4 / Max: 4.21Min: 3.96 / Avg: 4 / Max: 4.02Min: 2.79 / Avg: 2.81 / Max: 2.82Min: 2.78 / Avg: 2.8 / Max: 2.811. (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 Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileDefaultmitigations=off1530456075SE +/- 0.47, N = 3SE +/- 0.38, N = 3SE +/- 0.85, N = 3SE +/- 0.35, N = 347.4446.1665.6165.76
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileDefaultmitigations=off1326395265Min: 46.87 / Avg: 47.44 / Max: 48.37Min: 45.75 / Avg: 46.16 / Max: 46.92Min: 64.73 / Avg: 65.61 / Max: 67.31Min: 65.41 / Avg: 65.76 / Max: 66.46

iPerf

iPerf is a network bandwidth throughput testing software. This test profile is used for automated testing of an iperf client and requires you have access to an iperf server. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMbits/sec, More Is BetteriPerf 3.7Server Address: localhost - Server Port: 5201 - Duration: 60 Seconds - Test: TCP - Parallel: 5Defaultmitigations=off20K40K60K80K100KSE +/- 366.91, N = 3SE +/- 453.81, N = 3SE +/- 939.35, N = 3SE +/- 406.33, N = 3928299978872961700761. (CC) gcc options: -O3 -march=native -lssl -lcrypto -lm
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMbits/sec, More Is BetteriPerf 3.7Server Address: localhost - Server Port: 5201 - Duration: 60 Seconds - Test: TCP - Parallel: 5Defaultmitigations=off20K40K60K80K100KMin: 92128 / Avg: 92829.33 / Max: 93367Min: 98945 / Avg: 99787.67 / Max: 100501Min: 71123 / Avg: 72961.33 / Max: 74216Min: 69573 / Avg: 70075.67 / Max: 708801. (CC) gcc options: -O3 -march=native -lssl -lcrypto -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 20201218Target: CPU - Model: mobilenetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.25, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 316.4816.2011.8112.0416.7816.27MIN: 15.86 / MAX: 18.82MIN: 16.01 / MAX: 17.03MIN: 11.68 / MAX: 12.04MIN: 11.71 / MAX: 12.47MIN: 16.24 / MAX: 17.81MIN: 16.17 / MAX: 17.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 16.19 / Avg: 16.48 / Max: 16.99Min: 16.18 / Avg: 16.2 / Max: 16.22Min: 11.79 / Avg: 11.81 / Max: 11.82Min: 11.9 / Avg: 12.04 / Max: 12.31Min: 16.3 / Avg: 16.78 / Max: 17.04Min: 16.23 / Avg: 16.27 / Max: 16.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

iPerf

iPerf is a network bandwidth throughput testing software. This test profile is used for automated testing of an iperf client and requires you have access to an iperf server. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMbits/sec, More Is BetteriPerf 3.7Server Address: localhost - Server Port: 5201 - Duration: 60 Seconds - Test: TCP - Parallel: 1Defaultmitigations=off20K40K60K80K100KSE +/- 572.66, N = 3SE +/- 1154.89, N = 3SE +/- 998.37, N = 3SE +/- 769.46, N = 5915239802369225700221. (CC) gcc options: -O3 -march=native -lssl -lcrypto -lm
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMbits/sec, More Is BetteriPerf 3.7Server Address: localhost - Server Port: 5201 - Duration: 60 Seconds - Test: TCP - Parallel: 1Defaultmitigations=off20K40K60K80K100KMin: 90840 / Avg: 91523.33 / Max: 92661Min: 95895 / Avg: 98022.67 / Max: 99865Min: 67256 / Avg: 69224.67 / Max: 70498Min: 68946 / Avg: 70021.8 / Max: 730301. (CC) gcc options: -O3 -march=native -lssl -lcrypto -lm

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off900K1800K2700K3600K4500KSE +/- 24750.64, N = 13SE +/- 9878.30, N = 3SE +/- 26080.48, N = 3SE +/- 225996.85, N = 15SE +/- 13830.03, N = 3SE +/- 9891.95, N = 33056146301155642328103593465312792630276841. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off700K1400K2100K2800K3500KMin: 2963500 / Avg: 3056146.46 / Max: 3189521Min: 2999116 / Avg: 3011556 / Max: 3031068Min: 4190787 / Avg: 4232810 / Max: 4280582Min: 1930297 / Avg: 3593464.93 / Max: 4494035Min: 3106600 / Avg: 3127926.33 / Max: 3153844Min: 3008226 / Avg: 3027684 / Max: 30405101. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.27352.5473.82055.0946.3675SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.009, N = 3SE +/- 0.012, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 34.0494.0505.6605.5814.0514.041
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 4.04 / Avg: 4.05 / Max: 4.05Min: 4.04 / Avg: 4.05 / Max: 4.05Min: 5.64 / Avg: 5.66 / Max: 5.67Min: 5.56 / Avg: 5.58 / Max: 5.6Min: 4.04 / Avg: 4.05 / Max: 4.07Min: 4.04 / Avg: 4.04 / Max: 4.05

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1224364860SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.41, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 339.8039.2054.7054.9039.8039.631. chrome 87.0.4280.88
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1122334455Min: 39.5 / Avg: 39.83 / Max: 40.2Min: 39 / Avg: 39.2 / Max: 39.5Min: 54.1 / Avg: 54.73 / Max: 55.5Min: 54.8 / Avg: 54.87 / Max: 55Min: 39.5 / Avg: 39.83 / Max: 40.2Min: 39.38 / Avg: 39.63 / Max: 39.81. chrome 87.0.4280.88

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointDefaultmitigations=off714212835SE +/- 0.12, N = 3SE +/- 0.33, N = 3SE +/- 0.28, N = 3SE +/- 0.36, N = 323.0122.7831.9031.42
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointDefaultmitigations=off714212835Min: 22.8 / Avg: 23.01 / Max: 23.22Min: 22.24 / Avg: 22.78 / Max: 23.37Min: 31.57 / Avg: 31.9 / Max: 32.46Min: 30.71 / Avg: 31.42 / Max: 31.84

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: NUMADefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off100200300400500SE +/- 3.39, N = 3SE +/- 3.20, N = 3SE +/- 1.28, N = 3SE +/- 1.79, N = 3SE +/- 2.05, N = 15SE +/- 4.20, N = 3338.72340.89440.97445.70321.73318.52-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMADefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off80160240320400Min: 334.59 / Avg: 338.72 / Max: 345.43Min: 337.14 / Avg: 340.89 / Max: 347.26Min: 438.66 / Avg: 440.97 / Max: 443.08Min: 442.58 / Avg: 445.7 / Max: 448.78Min: 310.99 / Avg: 321.73 / Max: 336.51Min: 313.37 / Avg: 318.52 / Max: 326.851. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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 20201218Target: CPU - Model: regnety_400mDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 213.0613.2817.7018.0213.3613.21MIN: 12.67 / MAX: 14.24MIN: 12.76 / MAX: 15.11MIN: 17.36 / MAX: 25.15MIN: 17.42 / MAX: 24.92MIN: 13.23 / MAX: 20.71MIN: 13.03 / MAX: 14.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025Min: 13.02 / Avg: 13.06 / Max: 13.09Min: 12.97 / Avg: 13.28 / Max: 13.51Min: 17.55 / Avg: 17.7 / Max: 17.87Min: 17.62 / Avg: 18.02 / Max: 18.25Min: 13.33 / Avg: 13.36 / Max: 13.38Min: 13.1 / Avg: 13.21 / Max: 13.321. (CXX) g++ options: -O3 -rdynamic -lgomp -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: ForkingDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20K40K60K80K100KSE +/- 709.77, N = 15SE +/- 766.19, N = 15SE +/- 183.31, N = 3SE +/- 1250.51, N = 3SE +/- 1107.14, N = 15SE +/- 989.53, N = 1271711.7671842.7495409.4298760.2478020.6576501.00-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20K40K60K80K100KMin: 65950.84 / Avg: 71711.76 / Max: 74652.28Min: 66075.26 / Avg: 71842.74 / Max: 75888.01Min: 95183.85 / Avg: 95409.42 / Max: 95772.49Min: 96524.06 / Avg: 98760.24 / Max: 100848.34Min: 72470.48 / Avg: 78020.65 / Max: 87294.6Min: 70144.7 / Avg: 76501 / Max: 81875.61. (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.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off80160240320400SE +/- 1.96, N = 3SE +/- 1.11, N = 3SE +/- 2.83, N = 3SE +/- 1.79, N = 3SE +/- 1.16, N = 3SE +/- 1.22, N = 3343.89346.05251.31253.51336.97345.141. chrome 87.0.4280.88
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off60120180240300Min: 341.39 / Avg: 343.89 / Max: 347.75Min: 344.24 / Avg: 346.05 / Max: 348.07Min: 245.7 / Avg: 251.31 / Max: 254.71Min: 250.32 / Avg: 253.51 / Max: 256.53Min: 334.76 / Avg: 336.97 / Max: 338.68Min: 342.7 / Avg: 345.14 / Max: 346.521. chrome 87.0.4280.88

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Defaultmitigations=off3691215SE +/- 0.055, N = 3SE +/- 0.028, N = 3SE +/- 0.013, N = 3SE +/- 0.021, N = 39.6169.69413.05613.0221. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Defaultmitigations=off48121620Min: 9.52 / Avg: 9.62 / Max: 9.71Min: 9.65 / Avg: 9.69 / Max: 9.75Min: 13.04 / Avg: 13.06 / Max: 13.08Min: 12.99 / Avg: 13.02 / Max: 13.061. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastDefaultmitigations=off4080120160200SE +/- 0.58, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.08, N = 3174.10175.70129.53129.921. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastDefaultmitigations=off306090120150Min: 173.05 / Avg: 174.1 / Max: 175.07Min: 175.57 / Avg: 175.7 / Max: 175.87Min: 129.21 / Avg: 129.53 / Max: 130.03Min: 129.83 / Avg: 129.92 / Max: 130.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000SE +/- 3.87, N = 3SE +/- 3.41, N = 3SE +/- 11.75, N = 3SE +/- 7.60, N = 3SE +/- 7.09, N = 3SE +/- 9.84, N = 31029.9954.8901.5760.91028.1950.61. firefox 84.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000Min: 1022.8 / Avg: 1029.93 / Max: 1036.1Min: 949.7 / Avg: 954.83 / Max: 961.3Min: 878.6 / Avg: 901.47 / Max: 917.6Min: 745.9 / Avg: 760.87 / Max: 770.6Min: 1020.4 / Avg: 1028.13 / Max: 1042.3Min: 934.2 / Avg: 950.57 / Max: 968.21. firefox 84.0

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastDefaultmitigations=off20406080100SE +/- 0.64, N = 3SE +/- 0.40, N = 3SE +/- 0.22, N = 3SE +/- 0.19, N = 393.1093.4169.1669.201. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastDefaultmitigations=off20406080100Min: 92.28 / Avg: 93.1 / Max: 94.35Min: 92.77 / Avg: 93.41 / Max: 94.14Min: 68.74 / Avg: 69.16 / Max: 69.45Min: 68.86 / Avg: 69.2 / Max: 69.511. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1224364860SE +/- 0.19, N = 3SE +/- 0.49, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 354.4353.7941.1240.4754.3054.221. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1122334455Min: 54.21 / Avg: 54.43 / Max: 54.81Min: 52.82 / Avg: 53.79 / Max: 54.28Min: 40.83 / Avg: 41.12 / Max: 41.41Min: 40.29 / Avg: 40.47 / Max: 40.78Min: 54.23 / Avg: 54.3 / Max: 54.37Min: 54.19 / Avg: 54.22 / Max: 54.261. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215SE +/- 0.030, N = 3SE +/- 0.043, N = 3SE +/- 2.912, N = 15SE +/- 0.046, N = 3SE +/- 0.054, N = 3SE +/- 0.059, N = 310.33210.27612.2559.18210.20010.068
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 10.27 / Avg: 10.33 / Max: 10.36Min: 10.19 / Avg: 10.28 / Max: 10.33Min: 9.17 / Avg: 12.25 / Max: 53.02Min: 9.11 / Avg: 9.18 / Max: 9.27Min: 10.12 / Avg: 10.2 / Max: 10.3Min: 9.99 / Avg: 10.07 / Max: 10.19

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: WASM imageConvolute - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off612182430SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.26, N = 327.224.924.220.626.824.81. firefox 84.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off612182430Min: 27 / Avg: 27.2 / Max: 27.5Min: 24.6 / Avg: 24.9 / Max: 25.2Min: 24.2 / Avg: 24.23 / Max: 24.3Min: 20.6 / Avg: 20.63 / Max: 20.7Min: 26.5 / Avg: 26.8 / Max: 27.3Min: 24.3 / Avg: 24.8 / Max: 25.21. firefox 84.0

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off7K14K21K28K35KSE +/- 99.71, N = 3SE +/- 23.46, N = 3SE +/- 45.61, N = 3SE +/- 386.47, N = 4SE +/- 162.78, N = 3SE +/- 221.66, N = 32411826238245083129223780257741. firefox 84.0
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off5K10K15K20K25KMin: 23924 / Avg: 24118 / Max: 24255Min: 26193 / Avg: 26238 / Max: 26272Min: 24439 / Avg: 24507.67 / Max: 24594Min: 30583 / Avg: 31291.5 / Max: 32137Min: 23455 / Avg: 23780 / Max: 23959Min: 25331 / Avg: 25774 / Max: 260101. firefox 84.0

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianDefaultmitigations=off246810SE +/- 0.030, N = 3SE +/- 0.026, N = 3SE +/- 0.094, N = 4SE +/- 0.046, N = 36.5246.5428.4548.583
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianDefaultmitigations=off3691215Min: 6.48 / Avg: 6.52 / Max: 6.58Min: 6.51 / Avg: 6.54 / Max: 6.59Min: 8.24 / Avg: 8.45 / Max: 8.7Min: 8.5 / Avg: 8.58 / Max: 8.66

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.29, N = 15SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 317.0717.0121.9121.9916.8716.781. rsvg-convert version 2.50.1
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025Min: 17.05 / Avg: 17.07 / Max: 17.11Min: 16.98 / Avg: 17.01 / Max: 17.08Min: 20.11 / Avg: 21.91 / Max: 23.88Min: 21.51 / Avg: 21.99 / Max: 22.31Min: 16.8 / Avg: 16.87 / Max: 16.95Min: 16.73 / Avg: 16.78 / Max: 16.851. rsvg-convert version 2.50.1

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810SE +/- 0.034, N = 21SE +/- 0.039, N = 20SE +/- 0.026, N = 25SE +/- 0.032, N = 25SE +/- 0.053, N = 25SE +/- 0.045, N = 216.4056.5154.9954.9986.1456.1881. Default: LibreOffice 7.0.2.2 00(Build:2)2. mitigations=off: LibreOffice 7.0.2.2 00(Build:2)3. Ryzen 9 5950X: Default: LibreOffice 7.0.3.1 00(Build:1)4. Ryzen 9 5950X: mitigations=off: LibreOffice 7.0.3.1 00(Build:1)5. Core i9 10900K: Default: LibreOffice 7.0.3.1 00(Build:1)6. Core i9 10900K: mitigations=off: LibreOffice 7.0.3.1 00(Build:1)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215Min: 6.21 / Avg: 6.4 / Max: 7.01Min: 6.35 / Avg: 6.51 / Max: 7.19Min: 4.82 / Avg: 5 / Max: 5.49Min: 4.78 / Avg: 5 / Max: 5.51Min: 5.93 / Avg: 6.15 / Max: 7.38Min: 6.06 / Avg: 6.19 / Max: 7.071. Default: LibreOffice 7.0.2.2 00(Build:2)2. mitigations=off: LibreOffice 7.0.2.2 00(Build:2)3. Ryzen 9 5950X: Default: LibreOffice 7.0.3.1 00(Build:1)4. Ryzen 9 5950X: mitigations=off: LibreOffice 7.0.3.1 00(Build:1)5. Core i9 10900K: Default: LibreOffice 7.0.3.1 00(Build:1)6. Core i9 10900K: mitigations=off: LibreOffice 7.0.3.1 00(Build:1)

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex HashDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.5M3M4.5M6M7.5MSE +/- 5263.83, N = 3SE +/- 1428.07, N = 3SE +/- 8759.36, N = 3SE +/- 4202.81, N = 3SE +/- 2819.76, N = 3SE +/- 1095.79, N = 3640381167689015371797554624766084647002875-lslang -llzma-lslang -llzma1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex HashDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.2M2.4M3.6M4.8M6MMin: 6394311 / Avg: 6403810.67 / Max: 6412490Min: 6766700 / Avg: 6768901.33 / Max: 6771578Min: 5357783 / Avg: 5371796.67 / Max: 5387908Min: 5538237 / Avg: 5546247 / Max: 5552459Min: 6603113 / Avg: 6608463.67 / Max: 6612682Min: 7001307 / Avg: 7002875 / Max: 70049851. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma

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: Jetstream - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off50100150200250SE +/- 0.79, N = 3SE +/- 0.51, N = 3SE +/- 0.45, N = 3SE +/- 2.87, N = 3SE +/- 0.42, N = 3SE +/- 1.39, N = 3191.86209.23184.92238.49192.31209.811. firefox 84.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off4080120160200Min: 190.46 / Avg: 191.86 / Max: 193.19Min: 208.6 / Avg: 209.23 / Max: 210.23Min: 184.06 / Avg: 184.92 / Max: 185.59Min: 234.18 / Avg: 238.49 / Max: 243.92Min: 191.53 / Avg: 192.31 / Max: 192.97Min: 207.06 / Avg: 209.81 / Max: 211.541. firefox 84.0

TNN

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

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Defaultmitigations=off60120180240300SE +/- 0.46, N = 3SE +/- 1.85, N = 3SE +/- 1.37, N = 3SE +/- 0.34, N = 3213.42214.60273.46271.481. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Defaultmitigations=off50100150200250Min: 212.6 / Avg: 213.42 / Max: 214.18Min: 211.04 / Avg: 214.6 / Max: 217.23Min: 271.85 / Avg: 273.46 / Max: 276.18Min: 270.94 / Avg: 271.48 / Max: 272.121. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 20201218Target: CPU - Model: squeezenet_ssdDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 317.7317.9514.4714.4218.2917.79MIN: 17.47 / MAX: 21.34MIN: 17.56 / MAX: 18.91MIN: 14.17 / MAX: 14.8MIN: 13.87 / MAX: 14.95MIN: 17.9 / MAX: 19.54MIN: 17.69 / MAX: 18.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025Min: 17.66 / Avg: 17.73 / Max: 17.78Min: 17.83 / Avg: 17.95 / Max: 18.03Min: 14.47 / Avg: 14.47 / Max: 14.48Min: 14.1 / Avg: 14.42 / Max: 14.66Min: 17.95 / Avg: 18.29 / Max: 18.76Min: 17.76 / Avg: 17.79 / Max: 17.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Syscall BasicDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off6M12M18M24M30MSE +/- 60129.24, N = 3SE +/- 20382.55, N = 3SE +/- 262851.80, N = 3SE +/- 42878.79, N = 3SE +/- 24725.92, N = 3SE +/- 222582.52, N = 3220679492667670923572165266922832117888526034746-lslang -llzma-lslang -llzma1. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma
OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Syscall BasicDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off5M10M15M20M25MMin: 21947695 / Avg: 22067949.33 / Max: 22128941Min: 26637046 / Avg: 26676709 / Max: 26704694Min: 23307980 / Avg: 23572164.67 / Max: 24097866Min: 26641580 / Avg: 26692283.33 / Max: 26777532Min: 21136023 / Avg: 21178885 / Max: 21221676Min: 25590880 / Avg: 26034745.67 / Max: 262861131. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lelf -lcrypto -lz -lnuma

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off160320480640800SE +/- 1.89, N = 3SE +/- 2.97, N = 3SE +/- 3.08, N = 3SE +/- 7.85, N = 3SE +/- 4.88, N = 3SE +/- 8.88, N = 3747.5751.1600.3597.1744.7747.01. chrome 87.0.4280.88
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off130260390520650Min: 745.4 / Avg: 747.53 / Max: 751.3Min: 746.6 / Avg: 751.07 / Max: 756.7Min: 594.7 / Avg: 600.33 / Max: 605.3Min: 586.5 / Avg: 597.07 / Max: 612.4Min: 735.3 / Avg: 744.73 / Max: 751.6Min: 736.7 / Avg: 747.03 / Max: 764.71. chrome 87.0.4280.88

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1Defaultmitigations=off300600900120015001269.151267.491008.971013.23

TNN

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

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Defaultmitigations=off60120180240300SE +/- 1.92, N = 3SE +/- 0.95, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3207.95210.30260.19260.511. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Defaultmitigations=off50100150200250Min: 204.12 / Avg: 207.95 / Max: 210.15Min: 208.84 / Avg: 210.3 / Max: 212.07Min: 260 / Avg: 260.19 / Max: 260.29Min: 260.31 / Avg: 260.51 / Max: 260.651. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentDefaultmitigations=off48121620SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 312.7012.5815.7015.60
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentDefaultmitigations=off48121620Min: 12.58 / Avg: 12.7 / Max: 12.87Min: 12.47 / Avg: 12.58 / Max: 12.68Min: 15.5 / Avg: 15.7 / Max: 15.99Min: 15.43 / Avg: 15.6 / Max: 15.73

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmDefaultmitigations=off510152025SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 316.5916.4920.5220.35
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmDefaultmitigations=off510152025Min: 16.45 / Avg: 16.59 / Max: 16.7Min: 16.36 / Avg: 16.49 / Max: 16.62Min: 20.34 / Avg: 20.52 / Max: 20.86Min: 20.35 / Avg: 20.35 / Max: 20.36

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: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1122334455SE +/- 0.16, N = 3SE +/- 0.42, N = 3SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.40, N = 3SE +/- 0.24, N = 342.6440.5749.4641.4642.9040.091. firefox 84.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1020304050Min: 42.34 / Avg: 42.64 / Max: 42.89Min: 39.95 / Avg: 40.57 / Max: 41.37Min: 49.19 / Avg: 49.46 / Max: 49.77Min: 41.07 / Avg: 41.46 / Max: 41.86Min: 42.2 / Avg: 42.9 / Max: 43.6Min: 39.85 / Avg: 40.09 / Max: 40.571. firefox 84.0

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: MEMFDDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30060090012001500SE +/- 3.05, N = 3SE +/- 5.56, N = 3SE +/- 1.09, N = 3SE +/- 1.86, N = 3SE +/- 2.32, N = 3SE +/- 1.45, N = 31160.571193.071389.591411.761189.581194.78-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000Min: 1155.59 / Avg: 1160.57 / Max: 1166.11Min: 1182.14 / Avg: 1193.07 / Max: 1200.28Min: 1387.42 / Avg: 1389.59 / Max: 1390.78Min: 1408.05 / Avg: 1411.76 / Max: 1413.93Min: 1187.07 / Avg: 1189.58 / Max: 1194.22Min: 1193.1 / Avg: 1194.78 / Max: 1197.671. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2Defaultmitigations=off91827364533.5734.0340.6840.56

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 Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150SE +/- 0.67, N = 3SE +/- 1.41, N = 4SE +/- 0.67, N = 31131171221361131161. firefox 84.0
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150Min: 121 / Avg: 121.67 / Max: 123Min: 134 / Avg: 136 / Max: 140Min: 112 / Avg: 112.67 / Max: 1141. firefox 84.0

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off4080120160200SE +/- 1.01, N = 3SE +/- 2.33, N = 12SE +/- 0.61, N = 3SE +/- 1.30, N = 3SE +/- 2.29, N = 3SE +/- 2.13, N = 4176.04172.57152.05146.84174.94173.44
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150Min: 174.02 / Avg: 176.04 / Max: 177.13Min: 158.39 / Avg: 172.57 / Max: 182.18Min: 151.05 / Avg: 152.05 / Max: 153.15Min: 144.29 / Avg: 146.84 / Max: 148.55Min: 172.06 / Avg: 174.94 / Max: 179.46Min: 167.33 / Avg: 173.44 / Max: 176.73

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: Jetstream 2 - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100SE +/- 0.91, N = 3SE +/- 1.31, N = 3SE +/- 0.93, N = 3SE +/- 0.65, N = 3SE +/- 1.16, N = 3SE +/- 0.16, N = 390.4996.2184.79101.3988.3694.011. firefox 84.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100Min: 88.76 / Avg: 90.49 / Max: 91.83Min: 93.63 / Avg: 96.21 / Max: 97.86Min: 82.95 / Avg: 84.79 / Max: 85.95Min: 100.16 / Avg: 101.39 / Max: 102.37Min: 86.7 / Avg: 88.35 / Max: 90.6Min: 93.82 / Avg: 94.01 / Max: 94.331. firefox 84.0

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512mitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off500K1000K1500K2000K2500KSE +/- 1368.00, N = 3SE +/- 8978.85, N = 3SE +/- 3367.69, N = 3SE +/- 7189.30, N = 3SE +/- 1368.00, N = 3207502021277242473065244427520763882073652
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512mitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off400K800K1200K1600K2000KMin: 2072284 / Avg: 2075020 / Max: 2076388Min: 2109810 / Avg: 2127723.67 / Max: 2137769Min: 2467237 / Avg: 2473065.33 / Max: 2478903Min: 2435716 / Avg: 2444274.67 / Max: 2458560Min: 2072284 / Avg: 2073652 / Max: 2076388

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off300K600K900K1200K1500KSE +/- 20814.67, N = 4SE +/- 14468.02, N = 3SE +/- 99397.18, N = 15SE +/- 4352.52, N = 3SE +/- 17011.11, N = 4SE +/- 19852.11, N = 31536937155990913466681549207154915116035431. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off300K600K900K1200K1500KMin: 1475656 / Avg: 1536937.25 / Max: 1563515Min: 1537455 / Avg: 1559908.67 / Max: 1586942Min: 599684 / Avg: 1346668.33 / Max: 1580084Min: 1542058 / Avg: 1549207.33 / Max: 1557083Min: 1510507 / Avg: 1549151 / Max: 1589854Min: 1575292 / Avg: 1603543 / Max: 16418291. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -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: 2D Function Plotting, 1000 TimesDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100SE +/- 0.22, N = 3SE +/- 0.45, N = 3SE +/- 1.04, N = 3SE +/- 1.21, N = 3SE +/- 0.25, N = 3SE +/- 0.59, N = 387.3387.63103.64103.4987.5087.641. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100Min: 87.01 / Avg: 87.33 / Max: 87.76Min: 86.73 / Avg: 87.63 / Max: 88.08Min: 101.78 / Avg: 103.64 / Max: 105.39Min: 101.72 / Avg: 103.49 / Max: 105.81Min: 87.11 / Avg: 87.5 / Max: 87.97Min: 86.84 / Avg: 87.64 / Max: 88.81. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off4080120160200SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 31461471731721471471. chrome 87.0.4280.88
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150Min: 145 / Avg: 145.67 / Max: 146Min: 146 / Avg: 147 / Max: 148Min: 172 / Avg: 173 / Max: 1751. chrome 87.0.4280.88

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off16K32K48K64K80KSE +/- 318.90, N = 3SE +/- 287.51, N = 3SE +/- 327.46, N = 3SE +/- 552.13, N = 3SE +/- 440.68, N = 3SE +/- 150.48, N = 36301762823735637231662928620941. chrome 87.0.4280.88
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off13K26K39K52K65KMin: 62380 / Avg: 63017.33 / Max: 63357Min: 62380 / Avg: 62823 / Max: 63362Min: 73120 / Avg: 73562.67 / Max: 74202Min: 71733 / Avg: 72316.33 / Max: 73420Min: 62047 / Avg: 62928.33 / Max: 63374Min: 61796 / Avg: 62093.67 / Max: 622811. chrome 87.0.4280.88

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off8001600240032004000SE +/- 37.76, N = 4SE +/- 41.09, N = 4SE +/- 9.30, N = 4SE +/- 22.03, N = 4SE +/- 42.99, N = 4SE +/- 24.70, N = 4331033382996299135183318
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off6001200180024003000Min: 3236 / Avg: 3309.5 / Max: 3395Min: 3273 / Avg: 3337.75 / Max: 3453Min: 2977 / Avg: 2995.5 / Max: 3018Min: 2945 / Avg: 2991 / Max: 3040Min: 3433 / Avg: 3518 / Max: 3622Min: 3281 / Avg: 3318.25 / Max: 3391

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomDefaultmitigations=off0.13730.27460.41190.54920.6865SE +/- 0.01, N = 3SE +/- 0.01, N = 5SE +/- 0.00, N = 3SE +/- 0.00, N = 30.610.600.520.521. (CXX) g++ options: -O3 -pthread
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomDefaultmitigations=off246810Min: 0.6 / Avg: 0.61 / Max: 0.62Min: 0.59 / Avg: 0.6 / Max: 0.62Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.52 / Avg: 0.52 / Max: 0.521. (CXX) g++ options: -O3 -pthread

PostMark

This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2K4K6K8K10KSE +/- 95.67, N = 3SE +/- 102.67, N = 3SE +/- 128.33, N = 3SE +/- 128.33, N = 3SE +/- 73.52, N = 8SE +/- 102.67, N = 38429872398729743851587231. (CC) gcc options: -O3
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2K4K6K8K10KMin: 8333 / Avg: 8428.67 / Max: 8620Min: 8620 / Avg: 8722.67 / Max: 8928Min: 9615 / Avg: 9871.67 / Max: 10000Min: 9615 / Avg: 9743.33 / Max: 10000Min: 8064 / Avg: 8514.63 / Max: 8620Min: 8620 / Avg: 8722.67 / Max: 89281. (CC) gcc options: -O3

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1224364860SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 353.5353.4746.2545.8253.5353.251. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1122334455Min: 53.4 / Avg: 53.53 / Max: 53.65Min: 53.33 / Avg: 53.47 / Max: 53.57Min: 46.16 / Avg: 46.25 / Max: 46.4Min: 45.7 / Avg: 45.82 / Max: 45.89Min: 53.48 / Avg: 53.53 / Max: 53.56Min: 53.17 / Avg: 53.25 / Max: 53.31. RawTherapee, version 5.8, command line.

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 20201218Target: CPU - Model: blazefaceDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off0.41180.82361.23541.64722.059SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.571.631.801.831.601.59MIN: 1.52 / MAX: 1.96MIN: 1.58 / MAX: 1.74MIN: 1.77 / MAX: 1.98MIN: 1.79 / MAX: 2.02MIN: 1.58 / MAX: 1.64MIN: 1.57 / MAX: 1.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 1.54 / Avg: 1.57 / Max: 1.59Min: 1.6 / Avg: 1.63 / Max: 1.65Min: 1.79 / Avg: 1.8 / Max: 1.81Min: 1.8 / Avg: 1.83 / Max: 1.86Min: 1.59 / Avg: 1.6 / Max: 1.6Min: 1.58 / Avg: 1.59 / Max: 1.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off612182430SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 323.8124.0920.9221.0823.8623.85MIN: 23.55 / MAX: 25.45MIN: 23.63 / MAX: 24.92MIN: 20.53 / MAX: 21.91MIN: 20.7 / MAX: 21.72MIN: 23.56 / MAX: 24.79MIN: 23.53 / MAX: 24.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off612182430Min: 23.76 / Avg: 23.81 / Max: 23.88Min: 23.88 / Avg: 24.09 / Max: 24.35Min: 20.79 / Avg: 20.92 / Max: 21.06Min: 20.98 / Avg: 21.08 / Max: 21.17Min: 23.81 / Avg: 23.86 / Max: 23.93Min: 23.82 / Avg: 23.85 / Max: 23.921. (CXX) g++ options: -O3 -rdynamic -lgomp -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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.32752.6553.98255.316.6375SE +/- 0.024, N = 5SE +/- 0.032, N = 5SE +/- 0.030, N = 5SE +/- 0.036, N = 5SE +/- 0.033, N = 5SE +/- 0.034, N = 55.8275.8815.2065.1265.9005.845
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 5.76 / Avg: 5.83 / Max: 5.91Min: 5.84 / Avg: 5.88 / Max: 6.01Min: 5.12 / Avg: 5.21 / Max: 5.3Min: 5.02 / Avg: 5.13 / Max: 5.24Min: 5.8 / Avg: 5.9 / Max: 6.01Min: 5.8 / Avg: 5.85 / Max: 5.98

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzDefaultmitigations=off48121620SE +/- 0.07, N = 20SE +/- 0.13, N = 4SE +/- 0.06, N = 4SE +/- 0.06, N = 413.4913.4815.4815.33
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzDefaultmitigations=off48121620Min: 13.17 / Avg: 13.49 / Max: 14.65Min: 13.22 / Avg: 13.48 / Max: 13.84Min: 15.35 / Avg: 15.48 / Max: 15.63Min: 15.23 / Avg: 15.33 / Max: 15.49

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.913.212.612.314.014.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 13.9 / Avg: 13.9 / Max: 13.9Min: 13.2 / Avg: 13.23 / Max: 13.3Min: 12.6 / Avg: 12.63 / Max: 12.7Min: 12.3 / Avg: 12.33 / Max: 12.4Min: 13.9 / Avg: 13.97 / Max: 14Min: 14 / Avg: 14.07 / Max: 14.1

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 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.1252.253.3754.55.625SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.984.994.374.405.004.98MIN: 4.69 / MAX: 12.18MIN: 4.84 / MAX: 6.52MIN: 4.21 / MAX: 5.41MIN: 4.22 / MAX: 5.6MIN: 4.86 / MAX: 6.47MIN: 4.82 / MAX: 6.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 4.91 / Avg: 4.98 / Max: 5.02Min: 4.98 / Avg: 4.99 / Max: 5.01Min: 4.35 / Avg: 4.37 / Max: 4.38Min: 4.38 / Avg: 4.4 / Max: 4.42Min: 4.98 / Avg: 5 / Max: 5.02Min: 4.94 / Avg: 4.98 / Max: 51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessDefaultmitigations=off48121620SE +/- 0.05, N = 3SE +/- 0.14, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 312.8412.7914.6114.491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessDefaultmitigations=off48121620Min: 12.74 / Avg: 12.83 / Max: 12.89Min: 12.45 / Avg: 12.79 / Max: 13.07Min: 14.59 / Avg: 14.61 / Max: 14.64Min: 14.46 / Avg: 14.49 / Max: 14.561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg

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: TradesoapDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off6001200180024003000SE +/- 25.96, N = 4SE +/- 19.04, N = 4SE +/- 30.79, N = 4SE +/- 22.55, N = 3SE +/- 17.42, N = 17SE +/- 13.15, N = 4289528432615259328892961
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off5001000150020002500Min: 2837 / Avg: 2895 / Max: 2949Min: 2804 / Avg: 2842.75 / Max: 2894Min: 2523 / Avg: 2615.25 / Max: 2650Min: 2568 / Avg: 2593 / Max: 2638Min: 2760 / Avg: 2889.24 / Max: 3060Min: 2925 / Avg: 2960.5 / Max: 2987

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100SE +/- 1.07, N = 8SE +/- 0.88, N = 3SE +/- 0.63, N = 15SE +/- 0.80, N = 15SE +/- 1.37, N = 3SE +/- 0.93, N = 15102.3104.091.499.4101.3102.61. firefox 84.0
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100Min: 98.1 / Avg: 102.26 / Max: 108Min: 102 / Avg: 103.67 / Max: 105Min: 88.7 / Avg: 91.39 / Max: 96.7Min: 93.2 / Avg: 99.45 / Max: 104Min: 99.8 / Avg: 101.27 / Max: 104Min: 95.4 / Avg: 102.61 / Max: 1071. firefox 84.0

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleDefaultmitigations=off1.19772.39543.59314.79085.9885SE +/- 0.056, N = 3SE +/- 0.023, N = 3SE +/- 0.041, N = 3SE +/- 0.028, N = 34.7784.6885.3155.323
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleDefaultmitigations=off246810Min: 4.71 / Avg: 4.78 / Max: 4.89Min: 4.64 / Avg: 4.69 / Max: 4.72Min: 5.27 / Avg: 5.31 / Max: 5.4Min: 5.28 / Avg: 5.32 / Max: 5.38

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1122334455SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 4.36, N = 15SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 346.2345.6946.2341.5347.1544.421. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1020304050Min: 46.02 / Avg: 46.23 / Max: 46.59Min: 45.6 / Avg: 45.69 / Max: 45.8Min: 40.66 / Avg: 46.23 / Max: 107.3Min: 41.35 / Avg: 41.53 / Max: 41.74Min: 46.96 / Avg: 47.15 / Max: 47.29Min: 44.34 / Avg: 44.42 / Max: 44.491. (CC) gcc options: -O2 -ldl -lz -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionDefaultmitigations=off714212835SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 326.9727.0830.5930.021. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionDefaultmitigations=off714212835Min: 26.85 / Avg: 26.97 / Max: 27.06Min: 26.94 / Avg: 27.08 / Max: 27.2Min: 30.38 / Avg: 30.59 / Max: 30.72Min: 30 / Avg: 30.02 / Max: 30.041. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 315.4215.4517.4717.2015.5715.461. chrome 87.0.4280.88
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 15.38 / Avg: 15.42 / Max: 15.46Min: 15.3 / Avg: 15.45 / Max: 15.57Min: 17.35 / Avg: 17.47 / Max: 17.59Min: 17.06 / Avg: 17.2 / Max: 17.41Min: 15.52 / Avg: 15.57 / Max: 15.63Min: 15.38 / Avg: 15.46 / Max: 15.591. chrome 87.0.4280.88

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 20201218Target: CPU - Model: efficientnet-b0Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.34332.68664.02995.37326.7165SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.935.965.285.315.975.97MIN: 5.72 / MAX: 7.26MIN: 5.87 / MAX: 7.46MIN: 5.19 / MAX: 6.41MIN: 5.25 / MAX: 6.68MIN: 5.9 / MAX: 7.37MIN: 5.9 / MAX: 7.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 5.83 / Avg: 5.93 / Max: 6.01Min: 5.94 / Avg: 5.96 / Max: 5.98Min: 5.26 / Avg: 5.28 / Max: 5.29Min: 5.29 / Avg: 5.31 / Max: 5.33Min: 5.93 / Avg: 5.97 / Max: 6Min: 5.94 / Avg: 5.97 / Max: 5.981. (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: WASM imageConvolute - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off714212835SE +/- 0.33, N = 3SE +/- 0.08, N = 3SE +/- 0.35, N = 3SE +/- 0.55, N = 15SE +/- 0.22, N = 3SE +/- 0.08, N = 327.5627.5924.7125.2227.9027.671. chrome 87.0.4280.88
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off612182430Min: 27.03 / Avg: 27.56 / Max: 28.17Min: 27.44 / Avg: 27.59 / Max: 27.69Min: 24.04 / Avg: 24.71 / Max: 25.22Min: 23.45 / Avg: 25.22 / Max: 31.55Min: 27.65 / Avg: 27.9 / Max: 28.35Min: 27.51 / Avg: 27.67 / Max: 27.771. chrome 87.0.4280.88

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off7001400210028003500SE +/- 33.83, N = 3SE +/- 36.56, N = 3SE +/- 11.68, N = 3SE +/- 39.87, N = 3SE +/- 27.36, N = 3SE +/- 21.18, N = 32929280431652821295828131. firefox 84.0
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off6001200180024003000Min: 2861 / Avg: 2928.67 / Max: 2963Min: 2737 / Avg: 2803.67 / Max: 2863Min: 3142 / Avg: 3165.33 / Max: 3178Min: 2744 / Avg: 2820.67 / Max: 2878Min: 2903 / Avg: 2957.67 / Max: 2987Min: 2779 / Avg: 2813.33 / Max: 28521. firefox 84.0

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileDefaultmitigations=off1632486480SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 362.0262.2369.8368.13
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileDefaultmitigations=off1428425670Min: 61.8 / Avg: 62.02 / Max: 62.29Min: 62.04 / Avg: 62.23 / Max: 62.48Min: 69.64 / Avg: 69.83 / Max: 69.99Min: 68.08 / Avg: 68.13 / Max: 68.19

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off714212835SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 12SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 325.4625.0727.8427.7424.9425.00MIN: 24.73 / MAX: 33.39MIN: 24.23 / MAX: 36.43MIN: 26.19 / MAX: 56.01MIN: 26.95 / MAX: 35.47MIN: 24.26 / MAX: 33MIN: 24.33 / MAX: 30.11. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off612182430Min: 25.31 / Avg: 25.46 / Max: 25.72Min: 24.78 / Avg: 25.07 / Max: 25.32Min: 26.5 / Avg: 27.83 / Max: 29.29Min: 27.31 / Avg: 27.74 / Max: 28Min: 24.77 / Avg: 24.94 / Max: 25.08Min: 24.83 / Avg: 25 / Max: 25.281. (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

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3135129121121134135
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150Min: 134 / Avg: 134.67 / Max: 135Min: 135 / Avg: 135.33 / Max: 136

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20406080100SE +/- 0.00, N = 3SE +/- 0.37, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.55, N = 384.482.575.775.884.383.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1632486480Min: 84.4 / Avg: 84.4 / Max: 84.4Min: 82.1 / Avg: 82.47 / Max: 83.2Min: 75.5 / Avg: 75.7 / Max: 75.9Min: 75.7 / Avg: 75.83 / Max: 76Min: 84.3 / Avg: 84.33 / Max: 84.4Min: 82.8 / Avg: 83.9 / Max: 84.5

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 20201218Target: CPU - Model: alexnetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.35, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 312.0512.0910.8611.1912.0612.07MIN: 11.91 / MAX: 12.85MIN: 11.99 / MAX: 19.19MIN: 10.78 / MAX: 11.34MIN: 10.71 / MAX: 12.13MIN: 11.95 / MAX: 12.84MIN: 11.98 / MAX: 12.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 12.02 / Avg: 12.05 / Max: 12.07Min: 12.05 / Avg: 12.09 / Max: 12.15Min: 10.85 / Avg: 10.86 / Max: 10.87Min: 10.8 / Avg: 11.19 / Max: 11.88Min: 12.05 / Avg: 12.06 / Max: 12.07Min: 12.07 / Avg: 12.07 / Max: 12.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150SE +/- 0.67, N = 3SE +/- 1.33, N = 3149148136136151150
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150Min: 148 / Avg: 149.33 / Max: 150Min: 148 / Avg: 150.67 / Max: 152

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: inception-v3Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off714212835SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 12SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 329.5829.4126.7926.6929.5429.55MIN: 29.02 / MAX: 38.39MIN: 28.9 / MAX: 37.87MIN: 25.32 / MAX: 36.92MIN: 26.05 / MAX: 30.43MIN: 28.97 / MAX: 51.36MIN: 28.98 / MAX: 37.741. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off714212835Min: 29.51 / Avg: 29.58 / Max: 29.71Min: 29.33 / Avg: 29.41 / Max: 29.5Min: 25.66 / Avg: 26.79 / Max: 28.01Min: 26.39 / Avg: 26.69 / Max: 27.01Min: 29.4 / Avg: 29.54 / Max: 29.71Min: 29.4 / Avg: 29.55 / Max: 29.751. (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

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaDefaultmitigations=off1020304050SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 339.5839.4443.0943.62
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaDefaultmitigations=off918273645Min: 39.52 / Avg: 39.58 / Max: 39.63Min: 39.33 / Avg: 39.44 / Max: 39.59Min: 43.08 / Avg: 43.09 / Max: 43.11Min: 43.54 / Avg: 43.62 / Max: 43.71

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off400800120016002000SE +/- 12.39, N = 5SE +/- 14.46, N = 5SE +/- 10.39, N = 25SE +/- 11.01, N = 5SE +/- 8.70, N = 5SE +/- 13.31, N = 52001.081984.591977.101842.612032.201997.44
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off400800120016002000Min: 1973.66 / Avg: 2001.08 / Max: 2040.66Min: 1945.63 / Avg: 1984.59 / Max: 2021.96Min: 1874.53 / Avg: 1977.1 / Max: 2083.07Min: 1807.73 / Avg: 1842.61 / Max: 1872.9Min: 2005.42 / Avg: 2032.2 / Max: 2056.05Min: 1972.42 / Avg: 1997.44 / Max: 2035.32

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionDefaultmitigations=off1.33852.6774.01555.3546.6925SE +/- 0.065, N = 3SE +/- 0.013, N = 3SE +/- 0.002, N = 3SE +/- 0.013, N = 35.4015.4255.9375.9491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionDefaultmitigations=off246810Min: 5.27 / Avg: 5.4 / Max: 5.48Min: 5.4 / Avg: 5.43 / Max: 5.44Min: 5.93 / Avg: 5.94 / Max: 5.94Min: 5.94 / Avg: 5.95 / Max: 5.981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg

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: Jetstream - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off70140210280350SE +/- 1.07, N = 3SE +/- 0.76, N = 3SE +/- 1.64, N = 3SE +/- 0.59, N = 3SE +/- 0.90, N = 3SE +/- 0.11, N = 3292.10294.45318.59320.26294.10291.531. chrome 87.0.4280.88
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off60120180240300Min: 290.98 / Avg: 292.1 / Max: 294.23Min: 293.05 / Avg: 294.45 / Max: 295.66Min: 316.27 / Avg: 318.59 / Max: 321.77Min: 319.32 / Avg: 320.26 / Max: 321.35Min: 292.62 / Avg: 294.1 / Max: 295.73Min: 291.36 / Avg: 291.53 / Max: 291.741. chrome 87.0.4280.88

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeDefaultmitigations=off918273645SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.48, N = 3SE +/- 0.38, N = 335.6935.7539.1939.17
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeDefaultmitigations=off816243240Min: 35.56 / Avg: 35.69 / Max: 35.91Min: 35.65 / Avg: 35.75 / Max: 35.82Min: 38.36 / Avg: 39.19 / Max: 40.03Min: 38.51 / Avg: 39.17 / Max: 39.81

Ethr

Ethr is a cross-platform Golang-written network performance measurement tool developed by Microsoft that is capable of testing multiple protocols and different measurements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbits/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: UDP - Test: Bandwidth - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off50K100K150K200K250KSE +/- 1002.38, N = 3SE +/- 2939.70, N = 5SE +/- 415.72, N = 3SE +/- 664.11, N = 3SE +/- 2271.01, N = 6SE +/- 1856.14, N = 15237377.33239281.73218301.11218250.22239152.56232541.60MIN: 176170 / MAX: 255940MIN: 178480 / MAX: 262760MIN: 213180 / MAX: 234140MIN: 213020 / MAX: 225910MIN: 178450 / MAX: 262150MIN: 172920 / MAX: 253160
OpenBenchmarking.orgMbits/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: UDP - Test: Bandwidth - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off40K80K120K160K200KMin: 235478.67 / Avg: 237377.33 / Max: 238884Min: 228667.33 / Avg: 239281.73 / Max: 245616Min: 217496.67 / Avg: 218301.11 / Max: 218885.33Min: 216976 / Avg: 218250.22 / Max: 219212Min: 228680.67 / Avg: 239152.56 / Max: 245325.33Min: 214656 / Avg: 232541.6 / Max: 239994

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000SE +/- 0.27, N = 3SE +/- 11.75, N = 3SE +/- 2.65, N = 3SE +/- 2.11, N = 3SE +/- 0.27, N = 3SE +/- 10.68, N = 3939.5960.21010.31022.0932.9951.6
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000Min: 939.1 / Avg: 939.47 / Max: 940Min: 936.7 / Avg: 960.2 / Max: 972.3Min: 1005.4 / Avg: 1010.3 / Max: 1014.5Min: 1018.4 / Avg: 1021.97 / Max: 1025.7Min: 932.5 / Avg: 932.87 / Max: 933.4Min: 939 / Avg: 951.57 / Max: 972.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000SE +/- 0.85, N = 2SE +/- 12.22, N = 3SE +/- 0.90, N = 2SE +/- 2.49, N = 3SE +/- 0.20, N = 2SE +/- 11.67, N = 3938.9960.81012.11022.1933.1952.1
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000Min: 938 / Avg: 938.85 / Max: 939.7Min: 936.4 / Avg: 960.83 / Max: 973.2Min: 1011.2 / Avg: 1012.1 / Max: 1013Min: 1018 / Avg: 1022.1 / Max: 1026.6Min: 932.9 / Avg: 933.1 / Max: 933.3Min: 938.6 / Avg: 952.07 / Max: 975.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000SE +/- 1.40, N = 3SE +/- 11.58, N = 3SE +/- 3.53, N = 3SE +/- 4.13, N = 3SE +/- 1.96, N = 3SE +/- 10.16, N = 3959.6980.31023.41038.9952.6971.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000Min: 956.8 / Avg: 959.57 / Max: 961.3Min: 957.2 / Avg: 980.27 / Max: 993.5Min: 1016.4 / Avg: 1023.4 / Max: 1027.7Min: 1031.3 / Avg: 1038.87 / Max: 1045.5Min: 948.7 / Avg: 952.6 / Max: 954.8Min: 960.6 / Avg: 971.5 / Max: 991.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000SE +/- 4.67, N = 3SE +/- 12.02, N = 3SE +/- 2.66, N = 3SE +/- 2.62, N = 3SE +/- 0.48, N = 3SE +/- 11.65, N = 3955.3982.51024.41040.1954.1973.3
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2004006008001000Min: 946 / Avg: 955.33 / Max: 960.3Min: 958.5 / Avg: 982.47 / Max: 996.1Min: 1019.1 / Avg: 1024.37 / Max: 1027.6Min: 1036 / Avg: 1040.13 / Max: 1045Min: 953.1 / Avg: 954.07 / Max: 954.6Min: 960.5 / Avg: 973.33 / Max: 996.6

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 20201218Target: CPU - Model: vgg16Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1428425670SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 361.6961.8957.9857.7361.6562.50MIN: 61.46 / MAX: 62.58MIN: 61.65 / MAX: 67.43MIN: 57.06 / MAX: 59.35MIN: 56.47 / MAX: 59.05MIN: 61.51 / MAX: 65.52MIN: 62.34 / MAX: 63.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1224364860Min: 61.62 / Avg: 61.69 / Max: 61.75Min: 61.78 / Avg: 61.89 / Max: 62.04Min: 57.89 / Avg: 57.98 / Max: 58.1Min: 57.45 / Avg: 57.73 / Max: 57.91Min: 61.63 / Avg: 61.65 / Max: 61.66Min: 62.46 / Avg: 62.5 / Max: 62.531. (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.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off60120180240300SE +/- 2.67, N = 3SE +/- 3.84, N = 3SE +/- 2.73, N = 3SE +/- 1.53, N = 3SE +/- 2.60, N = 3SE +/- 1.45, N = 32892832782782682741. chrome 87.0.4280.88
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off50100150200250Min: 286 / Avg: 288.67 / Max: 294Min: 279 / Avg: 283.33 / Max: 291Min: 274 / Avg: 277.67 / Max: 283Min: 275 / Avg: 278 / Max: 280Min: 264 / Avg: 268.33 / Max: 273Min: 271 / Avg: 273.67 / Max: 2761. chrome 87.0.4280.88

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810SE +/- 0.060, N = 3SE +/- 0.057, N = 3SE +/- 0.069, N = 5SE +/- 0.072, N = 3SE +/- 0.084, N = 4SE +/- 0.060, N = 66.7646.7826.2996.3416.7246.599
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215Min: 6.68 / Avg: 6.76 / Max: 6.88Min: 6.7 / Avg: 6.78 / Max: 6.89Min: 6.15 / Avg: 6.3 / Max: 6.47Min: 6.22 / Avg: 6.34 / Max: 6.47Min: 6.63 / Avg: 6.72 / Max: 6.97Min: 6.5 / Avg: 6.6 / Max: 6.89

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 20201218Target: CPU - Model: resnet18Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 313.5013.7014.3314.4613.4813.46MIN: 13.26 / MAX: 14.35MIN: 13.22 / MAX: 14.59MIN: 14.21 / MAX: 14.68MIN: 14.24 / MAX: 22.63MIN: 13.27 / MAX: 14.28MIN: 13.26 / MAX: 13.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 13.48 / Avg: 13.5 / Max: 13.52Min: 13.42 / Avg: 13.7 / Max: 14.24Min: 14.31 / Avg: 14.33 / Max: 14.36Min: 14.33 / Avg: 14.46 / Max: 14.67Min: 13.48 / Avg: 13.48 / Max: 13.49Min: 13.43 / Avg: 13.46 / Max: 13.491. (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.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off4080120160200SE +/- 1.61, N = 3SE +/- 1.39, N = 3SE +/- 1.34, N = 3SE +/- 0.10, N = 3SE +/- 0.92, N = 3SE +/- 0.17, N = 3168.87166.09178.26172.69168.66169.471. chrome 87.0.4280.88
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off306090120150Min: 165.65 / Avg: 168.87 / Max: 170.53Min: 163.3 / Avg: 166.09 / Max: 167.5Min: 175.58 / Avg: 178.26 / Max: 179.61Min: 172.54 / Avg: 172.69 / Max: 172.89Min: 167.08 / Avg: 168.66 / Max: 170.27Min: 169.21 / Avg: 169.47 / Max: 169.811. chrome 87.0.4280.88

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkDefaultmitigations=off48121620SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 314.9715.0514.0914.191. Nodejs v12.18.2
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkDefaultmitigations=off48121620Min: 14.77 / Avg: 14.97 / Max: 15.25Min: 14.94 / Avg: 15.05 / Max: 15.23Min: 13.97 / Avg: 14.09 / Max: 14.18Min: 14.1 / Avg: 14.19 / Max: 14.271. Nodejs v12.18.2

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEDefaultmitigations=off140280420560700SE +/- 1.96, N = 3SE +/- 1.74, N = 3SE +/- 1.74, N = 3SE +/- 2.50, N = 3614.77621.49639.21654.44
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEDefaultmitigations=off120240360480600Min: 611.02 / Avg: 614.77 / Max: 617.61Min: 618.4 / Avg: 621.49 / Max: 624.43Min: 636.36 / Avg: 639.21 / Max: 642.36Min: 650.62 / Avg: 654.44 / Max: 659.14

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Defaultmitigations=off200K400K600K800K1000KSE +/- 1803.89, N = 3SE +/- 709.34, N = 3SE +/- 4590.31, N = 3SE +/- 9557.17, N = 4825138.98867718.93858089.24877183.791. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Defaultmitigations=off150K300K450K600K750KMin: 821729 / Avg: 825138.98 / Max: 827864.31Min: 866450.63 / Avg: 867718.93 / Max: 868903.59Min: 848933.87 / Avg: 858089.24 / Max: 863256.12Min: 849503.93 / Avg: 877183.79 / Max: 892945.451. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 312.5012.4513.0312.9612.4212.26
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 12.46 / Avg: 12.5 / Max: 12.56Min: 12.38 / Avg: 12.45 / Max: 12.52Min: 12.99 / Avg: 13.03 / Max: 13.07Min: 12.95 / Avg: 12.96 / Max: 12.97Min: 12.41 / Avg: 12.42 / Max: 12.44Min: 12.21 / Avg: 12.26 / Max: 12.29

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 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off0.92251.8452.76753.694.6125SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.893.874.064.103.923.88MIN: 3.68 / MAX: 11.27MIN: 3.63 / MAX: 5.38MIN: 4.01 / MAX: 5.14MIN: 4.04 / MAX: 5.4MIN: 3.87 / MAX: 5.61MIN: 3.81 / MAX: 5.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 3.88 / Avg: 3.89 / Max: 3.91Min: 3.81 / Avg: 3.87 / Max: 3.93Min: 4.05 / Avg: 4.06 / Max: 4.07Min: 4.07 / Avg: 4.1 / Max: 4.13Min: 3.91 / Avg: 3.92 / Max: 3.94Min: 3.85 / Avg: 3.88 / Max: 3.91. (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.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off7001400210028003500SE +/- 17.06, N = 3SE +/- 7.42, N = 3SE +/- 18.68, N = 3SE +/- 8.09, N = 3SE +/- 11.02, N = 3SE +/- 5.24, N = 33157316730603038317531511. chrome 87.0.4280.88
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off6001200180024003000Min: 3124 / Avg: 3157 / Max: 3181Min: 3152 / Avg: 3166.67 / Max: 3176Min: 3040 / Avg: 3059.67 / Max: 3097Min: 3024 / Avg: 3038.33 / Max: 3052Min: 3155 / Avg: 3175 / Max: 3193Min: 3144 / Avg: 3150.67 / Max: 31611. chrome 87.0.4280.88

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 315.7815.7415.4715.3015.9415.791. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 15.43 / Avg: 15.78 / Max: 15.97Min: 15.42 / Avg: 15.74 / Max: 15.92Min: 15.39 / Avg: 15.47 / Max: 15.62Min: 15.04 / Avg: 15.3 / Max: 15.45Min: 15.92 / Avg: 15.94 / Max: 15.96Min: 15.49 / Avg: 15.79 / Max: 15.981. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off120240360480600SE +/- 1.14, N = 3SE +/- 6.05, N = 3SE +/- 0.49, N = 3SE +/- 0.55, N = 3SE +/- 0.12, N = 3SE +/- 6.10, N = 3526.1539.5521.3523.2526.0533.7
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off100200300400500Min: 524 / Avg: 526.1 / Max: 527.9Min: 527.4 / Avg: 539.5 / Max: 545.7Min: 520.5 / Avg: 521.33 / Max: 522.2Min: 522.1 / Avg: 523.17 / Max: 523.9Min: 525.8 / Avg: 526.03 / Max: 526.2Min: 527.2 / Avg: 533.7 / Max: 545.9

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 20201218Target: CPU - Model: mnasnetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off0.8821.7642.6463.5284.41SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 23.793.803.913.923.833.81MIN: 3.76 / MAX: 4.95MIN: 3.62 / MAX: 5.07MIN: 3.78 / MAX: 11.47MIN: 3.79 / MAX: 5.07MIN: 3.79 / MAX: 5.31MIN: 3.77 / MAX: 4.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 3.77 / Avg: 3.79 / Max: 3.82Min: 3.75 / Avg: 3.8 / Max: 3.85Min: 3.9 / Avg: 3.91 / Max: 3.91Min: 3.89 / Avg: 3.92 / Max: 3.94Min: 3.82 / Avg: 3.83 / Max: 3.84Min: 3.8 / Avg: 3.81 / Max: 3.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDDefaultmitigations=off0.20930.41860.62790.83721.0465SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.930.900.920.921. (CXX) g++ options: -O3 -pthread
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDDefaultmitigations=off246810Min: 0.9 / Avg: 0.93 / Max: 1.05Min: 0.89 / Avg: 0.9 / Max: 0.9Min: 0.92 / Avg: 0.92 / Max: 0.92Min: 0.92 / Avg: 0.92 / Max: 0.931. (CXX) g++ options: -O3 -pthread

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Defaultmitigations=off400K800K1200K1600K2000KSE +/- 9646.39, N = 3SE +/- 6654.32, N = 3SE +/- 6968.27, N = 3SE +/- 2858.00, N = 31802411.61799776.41857492.11857326.5
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Defaultmitigations=off300K600K900K1200K1500KMin: 1790836 / Avg: 1802411.63 / Max: 1821565.9Min: 1788236.6 / Avg: 1799776.43 / Max: 1811287.8Min: 1848887.6 / Avg: 1857492.13 / Max: 1871288.7Min: 1852185.2 / Avg: 1857326.53 / Max: 1862060.4

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off120240360480600SE +/- 0.67, N = 3SE +/- 5.83, N = 3SE +/- 1.57, N = 3SE +/- 0.68, N = 3SE +/- 0.95, N = 3SE +/- 5.45, N = 3527.0538.1522.2522.8525.5533.7
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off100200300400500Min: 525.7 / Avg: 527.03 / Max: 527.8Min: 526.7 / Avg: 538.07 / Max: 546Min: 519.3 / Avg: 522.17 / Max: 524.7Min: 521.9 / Avg: 522.77 / Max: 524.1Min: 523.6 / Avg: 525.5 / Max: 526.5Min: 528.1 / Avg: 533.7 / Max: 544.6

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectDefaultmitigations=off612182430SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 323.6523.5224.1424.17
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectDefaultmitigations=off612182430Min: 23.56 / Avg: 23.65 / Max: 23.71Min: 23.35 / Avg: 23.52 / Max: 23.68Min: 24.11 / Avg: 24.14 / Max: 24.17Min: 24.12 / Avg: 24.17 / Max: 24.22

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 20201218Target: CPU - Model: googlenetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215SE +/- 0.01, N = 3SE +/- 0.24, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 312.9913.3013.0113.0612.9912.95MIN: 12.71 / MAX: 13.78MIN: 12.85 / MAX: 13.98MIN: 12.62 / MAX: 21.37MIN: 12.63 / MAX: 20.98MIN: 12.69 / MAX: 20.34MIN: 12.67 / MAX: 13.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 12.96 / Avg: 12.99 / Max: 13.01Min: 13.05 / Avg: 13.3 / Max: 13.78Min: 12.96 / Avg: 13.01 / Max: 13.07Min: 12.93 / Avg: 13.06 / Max: 13.18Min: 12.89 / Avg: 12.99 / Max: 13.07Min: 12.91 / Avg: 12.95 / Max: 12.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off120240360480600SE +/- 2.09, N = 3SE +/- 9.60, N = 2SE +/- 1.37, N = 3SE +/- 1.87, N = 3SE +/- 0.27, N = 3SE +/- 6.65, N = 3525.9537.1539.6539.9527.1535.6
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off100200300400500Min: 521.7 / Avg: 525.87 / Max: 528.2Min: 527.5 / Avg: 537.1 / Max: 546.7Min: 537.1 / Avg: 539.6 / Max: 541.8Min: 536.2 / Avg: 539.93 / Max: 541.9Min: 526.6 / Avg: 527.13 / Max: 527.5Min: 528.7 / Avg: 535.6 / Max: 548.9

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off200K400K600K800K1000KSE +/- 493.00, N = 3SE +/- 518.67, N = 3SE +/- 2063.67, N = 3SE +/- 1815.58, N = 3SE +/- 493.00, N = 3SE +/- 493.00, N = 3880663903425901880890644880663880170
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off160K320K480K640K800KMin: 879677 / Avg: 880663 / Max: 881156Min: 902388 / Avg: 903425.33 / Max: 903944Min: 897753 / Avg: 901880.33 / Max: 903944Min: 887120 / Avg: 890643.67 / Max: 893165Min: 879677 / Avg: 880663 / Max: 881156Min: 879677 / Avg: 880170 / Max: 881156

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off120240360480600SE +/- 0.19, N = 3SE +/- 6.17, N = 3SE +/- 0.84, N = 3SE +/- 0.09, N = 3SE +/- 6.03, N = 3527.7539.6539.4540.7527.0534.7
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryptionmitigations=offDefaultRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off100200300400500Min: 527.5 / Avg: 527.73 / Max: 528.1Min: 527.3 / Avg: 539.63 / Max: 546.3Min: 539 / Avg: 540.67 / Max: 541.6Min: 526.8 / Avg: 526.97 / Max: 527.1Min: 528.5 / Avg: 534.73 / Max: 546.8

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsDefaultmitigations=off0.20250.4050.60750.811.0125SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.900.880.900.901. (CXX) g++ options: -O3 -pthread
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsDefaultmitigations=off246810Min: 0.86 / Avg: 0.9 / Max: 1Min: 0.87 / Avg: 0.88 / Max: 0.9Min: 0.9 / Avg: 0.9 / Max: 0.9Min: 0.9 / Avg: 0.9 / Max: 0.91. (CXX) g++ options: -O3 -pthread

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 310.2810.2410.2810.1910.1810.06
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3691215Min: 10.24 / Avg: 10.28 / Max: 10.32Min: 10.19 / Avg: 10.24 / Max: 10.3Min: 10.17 / Avg: 10.28 / Max: 10.38Min: 10.16 / Avg: 10.19 / Max: 10.23Min: 10.12 / Avg: 10.18 / Max: 10.25Min: 10 / Avg: 10.06 / Max: 10.16

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaDefaultmitigations=off1428425670SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.51, N = 3SE +/- 0.02, N = 362.4862.2863.1963.67
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaDefaultmitigations=off1224364860Min: 62.03 / Avg: 62.48 / Max: 62.84Min: 62.15 / Avg: 62.28 / Max: 62.42Min: 62.19 / Avg: 63.19 / Max: 63.88Min: 63.65 / Avg: 63.67 / Max: 63.72

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 20201218Target: CPU - Model: shufflenet-v2Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off0.99451.9892.98353.9784.9725SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 2SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.334.374.414.424.394.39MIN: 4.13 / MAX: 5.89MIN: 4.1 / MAX: 5.75MIN: 4.32 / MAX: 5.44MIN: 4.35 / MAX: 5.65MIN: 4.35 / MAX: 5.78MIN: 4.32 / MAX: 5.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 4.27 / Avg: 4.33 / Max: 4.37Min: 4.26 / Avg: 4.37 / Max: 4.44Min: 4.37 / Avg: 4.41 / Max: 4.44Min: 4.39 / Avg: 4.42 / Max: 4.44Min: 4.38 / Avg: 4.39 / Max: 4.41Min: 4.37 / Avg: 4.39 / Max: 4.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off612182430SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 324.1424.5324.4224.5124.5524.22MIN: 23.69 / MAX: 27.49MIN: 23.8 / MAX: 25.66MIN: 24.2 / MAX: 25.35MIN: 23.99 / MAX: 28.19MIN: 23.98 / MAX: 25.64MIN: 23.72 / MAX: 25.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off612182430Min: 24.12 / Avg: 24.14 / Max: 24.17Min: 24.18 / Avg: 24.53 / Max: 25.04Min: 24.41 / Avg: 24.42 / Max: 24.43Min: 24.26 / Avg: 24.51 / Max: 24.69Min: 24.22 / Avg: 24.55 / Max: 24.77Min: 24.18 / Avg: 24.22 / Max: 24.271. (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.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off11002200330044005500SE +/- 47.35, N = 3SE +/- 33.45, N = 3SE +/- 6.66, N = 3SE +/- 3.79, N = 3SE +/- 16.82, N = 3SE +/- 17.89, N = 34932491849714971492249231. chrome 87.0.4280.88
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: Google ChromeDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off9001800270036004500Min: 4839 / Avg: 4932 / Max: 4994Min: 4867 / Avg: 4918 / Max: 4981Min: 4962 / Avg: 4971 / Max: 4984Min: 4964 / Avg: 4971 / Max: 4977Min: 4897 / Avg: 4922 / Max: 4954Min: 4887 / Avg: 4922.67 / Max: 49431. chrome 87.0.4280.88

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.9713.9714.0313.9914.0513.90
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off48121620Min: 13.95 / Avg: 13.96 / Max: 13.98Min: 13.93 / Avg: 13.97 / Max: 14.03Min: 14.02 / Avg: 14.03 / Max: 14.05Min: 13.97 / Avg: 13.99 / Max: 14.02Min: 14.02 / Avg: 14.05 / Max: 14.08Min: 13.89 / Avg: 13.9 / Max: 13.92

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: CanvasMark - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off11002200330044005500SE +/- 21.93, N = 3SE +/- 23.29, N = 3SE +/- 33.67, N = 3SE +/- 40.93, N = 3SE +/- 18.61, N = 3SE +/- 18.50, N = 35009501250024982500949761. firefox 84.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off9001800270036004500Min: 4965 / Avg: 5008.67 / Max: 5034Min: 4975 / Avg: 5012 / Max: 5055Min: 4967 / Avg: 5001.67 / Max: 5069Min: 4902 / Avg: 4982 / Max: 5037Min: 4987 / Avg: 5009 / Max: 5046Min: 4945 / Avg: 4976 / Max: 50091. firefox 84.0

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: RdRandDefaultmitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off40K80K120K160K200KSE +/- 1.61, N = 3SE +/- 2.74, N = 3SE +/- 12.75, N = 3SE +/- 0.62, N = 3195284.82195286.98195294.73195286.53-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: RdRandDefaultmitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30K60K90K120K150KMin: 195281.6 / Avg: 195284.82 / Max: 195286.54Min: 195281.65 / Avg: 195286.98 / Max: 195290.72Min: 195280.24 / Avg: 195294.73 / Max: 195320.14Min: 195285.34 / Avg: 195286.53 / Max: 195287.431. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

iPerf

iPerf is a network bandwidth throughput testing software. This test profile is used for automated testing of an iperf client and requires you have access to an iperf server. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMbits/sec, More Is BetteriPerf 3.7Server Address: localhost - Server Port: 5201 - Duration: 60 Seconds - Test: UDP - Parallel: 5Defaultmitigations=off1.1792.3583.5374.7165.895SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.245.245.245.241. (CC) gcc options: -O3 -march=native -lssl -lcrypto -lm
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMbits/sec, More Is BetteriPerf 3.7Server Address: localhost - Server Port: 5201 - Duration: 60 Seconds - Test: UDP - Parallel: 5Defaultmitigations=off246810Min: 5.24 / Avg: 5.24 / Max: 5.24Min: 5.24 / Avg: 5.24 / Max: 5.24Min: 5.24 / Avg: 5.24 / Max: 5.24Min: 5.24 / Avg: 5.24 / Max: 5.241. (CC) gcc options: -O3 -march=native -lssl -lcrypto -lm

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMbits/sec, More Is BetteriPerf 3.7Server Address: localhost - Server Port: 5201 - Duration: 60 Seconds - Test: UDP - Parallel: 1Defaultmitigations=off0.23630.47260.70890.94521.1815SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.051.051.051.051. (CC) gcc options: -O3 -march=native -lssl -lcrypto -lm
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgMbits/sec, More Is BetteriPerf 3.7Server Address: localhost - Server Port: 5201 - Duration: 60 Seconds - Test: UDP - Parallel: 1Defaultmitigations=off246810Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 1.05 / Avg: 1.05 / Max: 1.051. (CC) gcc options: -O3 -march=native -lssl -lcrypto -lm

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Defaultmitigations=off400K800K1200K1600K2000KSE +/- 51216.09, N = 15SE +/- 52921.25, N = 15SE +/- 4377.39, N = 3SE +/- 1906.65, N = 31098168.01073941.01803342.01807338.5
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Defaultmitigations=off300K600K900K1200K1500KMin: 682758 / Avg: 1098167.97 / Max: 1225305.2Min: 719293.4 / Avg: 1073941.04 / Max: 1219212.1Min: 1797163.8 / Avg: 1803342.03 / Max: 1811803Min: 1804620.2 / Avg: 1807338.5 / Max: 1811013.7

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropDefaultmitigations=off3691215SE +/- 0.032, N = 3SE +/- 2.973, N = 15SE +/- 0.007, N = 3SE +/- 0.038, N = 36.6269.6647.0897.118
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropDefaultmitigations=off3691215Min: 6.57 / Avg: 6.63 / Max: 6.68Min: 6.62 / Avg: 9.66 / Max: 51.29Min: 7.08 / Avg: 7.09 / Max: 7.1Min: 7.04 / Avg: 7.12 / Max: 7.17

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesDefaultmitigations=off816243240SE +/- 3.51, N = 15SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 333.6030.1731.6031.56
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesDefaultmitigations=off714212835Min: 29.9 / Avg: 33.6 / Max: 82.69Min: 30.09 / Avg: 30.17 / Max: 30.33Min: 31.54 / Avg: 31.6 / Max: 31.67Min: 31.51 / Avg: 31.56 / Max: 31.61

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileDefaultmitigations=off306090120150SE +/- 11.38, N = 12SE +/- 14.08, N = 9SE +/- 0.14, N = 3SE +/- 0.30, N = 3126.40130.28116.18116.30
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileDefaultmitigations=off20406080100Min: 82.1 / Avg: 126.4 / Max: 205.11Min: 81.22 / Avg: 130.28 / Max: 197.39Min: 115.92 / Avg: 116.18 / Max: 116.37Min: 115.7 / Avg: 116.3 / Max: 116.65

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileDefaultmitigations=off110220330440550SE +/- 12.57, N = 9SE +/- 21.67, N = 8SE +/- 5.86, N = 3SE +/- 5.23, N = 3426.68420.92515.62522.38
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileDefaultmitigations=off90180270360450Min: 372.69 / Avg: 426.68 / Max: 493.33Min: 359.68 / Avg: 420.92 / Max: 563.71Min: 508.13 / Avg: 515.62 / Max: 527.17Min: 516.36 / Avg: 522.38 / Max: 532.79

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.

Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaDefaultmitigations=off0.18450.3690.55350.7380.9225SE +/- 0.01, N = 15SE +/- 0.02, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 30.640.680.820.821. (CXX) g++ options: -O3 -pthread
Ryzen 9 5950XCore i9 10900KOpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaDefaultmitigations=off246810Min: 0.6 / Avg: 0.64 / Max: 0.68Min: 0.6 / Avg: 0.68 / Max: 0.91Min: 0.82 / Avg: 0.82 / Max: 0.82Min: 0.82 / Avg: 0.82 / Max: 0.821. (CXX) g++ options: -O3 -pthread

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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off3M6M9M12M15MSE +/- 75187.19, N = 15SE +/- 262069.73, N = 15SE +/- 6825.66, N = 3SE +/- 66768.29, N = 11SE +/- 68123.28, N = 4SE +/- 256465.65, N = 124050086.1311509999.368700447.108984635.346014923.6611702851.04-laio -lbsd-laio -lbsd1. (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=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off2M4M6M8M10MMin: 3570506.59 / Avg: 4050086.13 / Max: 4578446.13Min: 10006592.51 / Avg: 11509999.36 / Max: 13248423.24Min: 8686846.94 / Avg: 8700447.1 / Max: 8708269.68Min: 8572852.03 / Avg: 8984635.34 / Max: 9349406.17Min: 5835224.7 / Avg: 6014923.66 / Max: 6133761.38Min: 9976405.68 / Avg: 11702851.04 / Max: 12931682.691. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off50K100K150K200K250KSE +/- 9569.76, N = 15SE +/- 6599.29, N = 12SE +/- 98.11, N = 3SE +/- 96.23, N = 3SE +/- 8323.12, N = 15SE +/- 7915.64, N = 12218337.49241268.87194606.18194610.87226005.83227192.55-laio -lbsd-laio -lbsd1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off40K80K120K160K200KMin: 179778.53 / Avg: 218337.49 / Max: 265797.59Min: 181069.06 / Avg: 241268.87 / Max: 259616.66Min: 194412.47 / Avg: 194606.18 / Max: 194730.19Min: 194422.94 / Avg: 194610.87 / Max: 194740.81Min: 179922.66 / Avg: 226005.83 / Max: 265749.43Min: 180386.33 / Avg: 227192.55 / Max: 265693.581. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off14002800420056007000SE +/- 73.61, N = 25SE +/- 15.12, N = 5SE +/- 1921.13, N = 20SE +/- 41.33, N = 25SE +/- 71.22, N = 25SE +/- 71.74, N = 253002.052574.756403.573584.653000.112870.91
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off11002200330044005500Min: 2560.38 / Avg: 3002.05 / Max: 3355.8Min: 2519.67 / Avg: 2574.75 / Max: 2609.79Min: 3219.61 / Avg: 6403.57 / Max: 33661.41Min: 3281.87 / Avg: 3584.65 / Max: 4244.28Min: 2574.65 / Avg: 3000.11 / Max: 3390.65Min: 2557.28 / Avg: 2870.91 / Max: 3364.18

Sockperf

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

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under LoadDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025SE +/- 0.81, N = 25SE +/- 0.68, N = 25SE +/- 1.13, N = 25SE +/- 0.36, N = 20SE +/- 1.11, N = 20SE +/- 0.09, N = 515.8917.3513.7212.2716.1618.361. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under LoadDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off510152025Min: 3.83 / Avg: 15.89 / Max: 18.73Min: 6.47 / Avg: 17.35 / Max: 19.05Min: 5.77 / Avg: 13.72 / Max: 34.36Min: 10.73 / Avg: 12.27 / Max: 16Min: 5.29 / Avg: 16.16 / Max: 19.3Min: 18.17 / Avg: 18.36 / Max: 18.661. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off1.00172.00343.00514.00685.0085SE +/- 0.031, N = 5SE +/- 0.056, N = 21SE +/- 0.145, N = 25SE +/- 0.138, N = 20SE +/- 0.019, N = 5SE +/- 0.027, N = 53.0652.7834.4524.3053.1923.1601. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongDefaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off246810Min: 3 / Avg: 3.07 / Max: 3.14Min: 2.58 / Avg: 2.78 / Max: 3.39Min: 2.35 / Avg: 4.45 / Max: 5.42Min: 2.65 / Avg: 4.31 / Max: 4.85Min: 3.14 / Avg: 3.19 / Max: 3.25Min: 3.06 / Avg: 3.16 / Max: 3.211. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Ethr

Ethr is a cross-platform Golang-written network performance measurement tool developed by Microsoft that is capable of testing multiple protocols and different measurements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgConnections/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Connections/s - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20K40K60K80K100KSE +/- 67.66, N = 3SE +/- 1899.61, N = 12SE +/- 2027.45, N = 15SE +/- 1375.95, N = 15SE +/- 176.67, N = 3SE +/- 222.71, N = 3955839476364845641799543396930
OpenBenchmarking.orgConnections/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Connections/s - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off20K40K60K80K100KMin: 95450 / Avg: 95583.33 / Max: 95670Min: 73880 / Avg: 94763.33 / Max: 97090Min: 57390 / Avg: 64844.67 / Max: 78280Min: 57680 / Avg: 64179.33 / Max: 75440Min: 95080 / Avg: 95433.33 / Max: 95610Min: 96650 / Avg: 96930 / Max: 97370

OpenBenchmarking.orgMbits/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Bandwidth - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30K60K90K120K150KSE +/- 2792.69, N = 15SE +/- 2474.04, N = 15SE +/- 277.52, N = 3SE +/- 1215.92, N = 3SE +/- 2380.78, N = 15SE +/- 2528.95, N = 15118119.20120181.51152793.11156363.33112473.29117406.13MIN: 87950 / MAX: 142370MIN: 88540 / MAX: 146340MIN: 144260 / MAX: 162330MIN: 138430 / MAX: 166920MIN: 85630 / MAX: 137480MIN: 85490 / MAX: 139800
OpenBenchmarking.orgMbits/sec, More Is BetterEthr 2019-01-02Server Address: localhost - Protocol: TCP - Test: Bandwidth - Threads: 8Defaultmitigations=offRyzen 9 5950X: DefaultRyzen 9 5950X: mitigations=offCore i9 10900K: DefaultCore i9 10900K: mitigations=off30K60K90K120K150KMin: 97796.67 / Avg: 118119.2 / Max: 129842.67Min: 104400 / Avg: 120181.51 / Max: 134279.33Min: 152274.67 / Avg: 152793.11 / Max: 153224Min: 153945.33 / Avg: 156363.33 / Max: 157796.67Min: 101821.33 / Avg: 112473.29 / Max: 128020.67Min: 101191.33 / Avg: 117406.13 / Max: 133072

189 Results Shown

LevelDB
Stress-NG
LevelDB:
  Rand Fill
  Overwrite
perf-bench
LevelDB
Stress-NG:
  MMAP
  Memory Copying
Facebook RocksDB
LevelDB
perf-bench
Stress-NG
Facebook RocksDB
LevelDB
Ethr
LevelDB
Facebook RocksDB
Ethr
Cryptsetup
IOR
Cryptsetup
perf-bench
TensorFlow Lite
Ethr:
  TCP - Connections/s - 1
  TCP - Latency - 8
Stress-NG
PyPerformance
Ethr
Stress-NG
Mlpack Benchmark
Stress-NG
TensorFlow Lite:
  SqueezeNet
  Inception ResNet V2
  Inception V4
IOR
Cryptsetup
TensorFlow Lite
Cryptsetup
Mobile Neural Network
LevelDB
ECP-CANDLE
Basis Universal
LevelDB
perf-bench
Darktable
LevelDB
Basis Universal
DaCapo Benchmark
perf-bench
Kvazaar:
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
Stress-NG
Numenta Anomaly Benchmark
LevelDB
Selenium
Mobile Neural Network
Stress-NG
LevelDB
Sockperf
TensorFlow Lite
Numenta Anomaly Benchmark
Mobile Neural Network
Timed Linux Kernel Compilation
iPerf
NCNN
iPerf
Facebook RocksDB
Darktable
Selenium
Numenta Anomaly Benchmark
Stress-NG
NCNN
Stress-NG
Selenium
Nebular Empirical Analysis Tool
Kvazaar
Selenium
Kvazaar
G'MIC
GIMP
Selenium:
  WASM imageConvolute - Firefox
  Octane - Firefox
Numenta Anomaly Benchmark
librsvg
LibreOffice
perf-bench
Selenium
TNN
NCNN
perf-bench
Selenium
ECP-CANDLE
TNN
OCRMyPDF
Mlpack Benchmark
Selenium
Stress-NG
ECP-CANDLE
Selenium
WireGuard + Linux Networking Stack Stress Test
Selenium
Cryptsetup
Facebook RocksDB
G'MIC
Selenium:
  Speedometer - Google Chrome
  Octane - Google Chrome
DaCapo Benchmark
simdjson
PostMark
RawTherapee
NCNN:
  CPU - blazeface
  CPU - yolov4-tiny
GNU Octave Benchmark
Unpacking Firefox
PyPerformance
NCNN
WebP Image Encode
DaCapo Benchmark
Selenium
GEGL
SQLite Speedtest
WebP Image Encode
Selenium
NCNN
Selenium:
  WASM imageConvolute - Google Chrome
  PSPDFKit WASM - Firefox
Timed Eigen Compilation
Mobile Neural Network
PyPerformance:
  regex_compile
  crypto_pyaes
NCNN
ctx_clock
Mobile Neural Network
Mlpack Benchmark
Renaissance
WebP Image Encode
Selenium
Hugin
Ethr
Cryptsetup:
  Serpent-XTS 256b Decryption
  Serpent-XTS 512b Decryption
  Serpent-XTS 256b Encryption
  Serpent-XTS 512b Encryption
NCNN
Selenium
GIMP
NCNN
Selenium
Node.js V8 Web Tooling Benchmark
Numenta Anomaly Benchmark
KeyDB
GIMP
NCNN
Selenium
G'MIC
Cryptsetup
NCNN
simdjson
InfluxDB
Cryptsetup
GEGL
NCNN
Cryptsetup:
  Twofish-XTS 256b Decryption
  PBKDF2-whirlpool
  Twofish-XTS 512b Decryption
simdjson
GIMP
Mlpack Benchmark
NCNN:
  CPU - shufflenet-v2
  CPU - resnet50
Selenium
Darktable
Selenium
Stress-NG
iPerf:
  5201 - 60 Seconds - UDP - 5
  5201 - 60 Seconds - UDP - 1
InfluxDB
GEGL:
  Crop
  Rotate 90 Degrees
Build2
Timed LLVM Compilation
simdjson
Stress-NG:
  Context Switching
  Atomic
Renaissance
Sockperf:
  Latency Under Load
  Latency Ping Pong
Ethr:
  TCP - Connections/s - 8
  TCP - Bandwidth - 8