EPYC 7F72

2 x AMD EPYC 7F72 24-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and ASPEED on Ubuntu 20.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012196-HA-EPYC7F72759
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  Test
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EPYC 7F72
December 10 2020
  12 Hours, 13 Minutes
AMD 7F72
December 11 2020
  11 Hours, 50 Minutes
AMD EPYC 7F72
December 11 2020
  11 Hours, 39 Minutes
AMD EPYC 7F72 2P
December 16 2020
  1 Day, 26 Minutes
EPYC 7F72 2P
December 17 2020
  23 Hours, 54 Minutes
7F72 2P
December 18 2020
  1 Day, 4 Hours, 52 Minutes
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  18 Hours, 49 Minutes

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EPYC 7F72ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72 24-Core @ 3.20GHz (24 Cores / 48 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse64GB1000GB Western Digital WD_BLACK SN850 1TBllvmpipeVE2282 x Intel 10G X550TUbuntu 20.105.8.0-29-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits)GCC 10.2.0ext41920x10802 x AMD EPYC 7F72 24-Core @ 3.20GHz (48 Cores / 96 Threads)126GBASPEEDOpenBenchmarking.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- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8301034Python Details- Python 3.8.6Security Details- 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PResult OverviewPhoronix Test Suite100%138%175%213%251%NCNNLevelDBHigh Performance Conjugate GradientNAMDBRL-CADGROMACSStockfishasmFishLAMMPS Molecular Dynamics SimulatorFFTETimed Linux Kernel CompilationKvazaarKeyDBTimed LLVM CompilationoneDNNTimed HMMer SearchAI Benchmark AlphaHuginBasis Universalx265InfluxDBLibRawMlpack BenchmarkRedisx264PostgreSQL pgbenchHPC ChallengeTimed Clash CompilationTNNBYTE Unix Benchmarkrav1eLZ4 CompressionNumpy BenchmarkPHPBenchCraftyWebP Image EncodeHierarchical INTegrationRNNoiseeSpeak-NG Speech EngineTensorFlow Lite

EPYC 7F72leveldb: Hot Readleveldb: Fill Syncleveldb: Fill Syncleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillleveldb: Rand Readleveldb: Seek Randleveldb: Rand Deleteleveldb: Seq Fillleveldb: Seq Fillyquake2: Software CPU - 1920 x 1080hpcg: hpcc: G-HPLhpcc: G-Fftehpcc: EP-DGEMMhpcc: G-Ptranshpcc: EP-STREAM Triadhpcc: G-Rand Accesshpcc: Rand Ring Latencyhpcc: Rand Ring Bandwidthhpcc: Max Ping Pong Bandwidthnamd: ATPase Simulation - 327,506 Atomsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchlammps: 20k Atomslammps: Rhodopsin Proteinwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionbyte: Dhrystone 2compress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedlibraw: Post-Processing Benchmarkcrafty: Elapsed Timeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastrav1e: 1rav1e: 5rav1e: 6rav1e: 10x264: H.264 Video Encodingx265: Bosphorus 4Kx265: Bosphorus 1080pstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-clash: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compilenumpy: espeak: Text-To-Speech Synthesisrnnoise: keydb: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2pgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 50 - Read Write - Average Latencypgbench: 100 - 1 - Read Onlypgbench: 100 - 1 - Read Only - Average Latencypgbench: 1 - 100 - Read Writepgbench: 1 - 100 - Read Write - Average Latencypgbench: 100 - 1 - Read Writepgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 50 - Read Onlypgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 50 - Read Writepgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencybasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3basis: UASTC Level 2 + RDO Post-Processinghugin: Panorama Photo Assistant + Stitching Timeredis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1indigobench: CPU - Bedroomindigobench: CPU - Supercarhint: FLOATai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorephpbench: PHP Benchmark Suitemlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionbrl-cad: VGR Performance Metricinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P39.7724.51168.58023.1229.12123.3228.03839.86764.337209.85324.1220.32714.514.999587.254509.8723836.141007.757393.116270.031441.168692.710769566.4960.88169111181.73685310142.11515.78912.1291.6112.59619.0428.53839.28037455257.29777.4311308.950.7810606.349.7010630.935.1174063091.730512.778151.437820.5928042.849362.359463.150475.303206.377252.309611611.21925.9761613.91934.6860.5782261616.57931.2751.4023510.7310.9536.2137.1424.0041.9983.06142.440.3491.0371.3853.039178.7923.5360.615259754464349837462.28338.863298.145324.1332.79521.137424090.962.84789588.1134287710451760165.361482.01175663294190.03420190.4958472310.0596984520.143242120.663243360.041214546.68318050.5545516230.0915293180.189214792.329294863.39549.3607.57816.90127.182694.86950.0062134890.151658090.041295998.652038392.691495615.5921.2621.4410.049.5210.459.5812.294.0922.0736.4813.8210.3824.9531.05295.193275.5224.76910.309321206770.0579419601513347356879651.7440.0524.451.613379241197999.81339487.540.9904.51163.45523.2228.69723.2228.60740.38363.751210.65124.0220.80423.714.973187.310778.4312136.765538.175533.382200.030511.162762.7251510110.2590.87532111004.65873611142.13115.81611.7001.6022.58519.0188.54939.17037547272.99740.1611271.450.5410661.548.3310616.035.0173829161.733882.750041.426450.8390252.903422.341523.144995.359506.413902.306331613.70930.7141610.95930.7110.5752541606.75924.0241.3865110.7010.9136.0936.9723.9842.1382.46141.930.3491.0361.3863.032177.8623.5960.335342151764448741462.32339.054289.654321.8132.75921.126426284.572.83089393.6134740010364159959.661260.71179913293910.03420270.4938526120.0596987780.143243120.571243450.041214446.69418010.5565553200.0905305810.189215212.324295373.38949.5117.73316.98027.287693.89750.3251376509.231757206.721332610.561814383.801500640.3121.1022.2610.069.6110.359.5112.614.1321.5536.5613.8610.5124.5331.33292.901275.7034.77510.339321880722.6368920091523353256789751.8239.4924.491.593323941199592.41339130.140.6234.51162.71423.2228.70823.2228.31740.03064.871210.33424.0220.86714.515.445186.882979.4189536.438808.285553.299230.030371.157172.7303510456.2860.89277113220.19747808142.08015.77911.7051.6122.59119.0158.54839.34237624546.99780.3811314.649.3110548.848.9810685.734.9673592171.727652.782141.426690.5917022.836482.357263.138785.363306.328842.296721611.74929.8861605.90928.1150.5766571602.59932.4891.4034610.7310.9236.1537.0823.9342.1783.29142.030.3461.0371.3853.026177.7123.6060.255270402363564766461.62438.903294.113318.4732.71121.168424640.302.84689812.7134489310436260331.661596.21178590294620.03420090.4988420220.0596953440.144242420.630244460.041214246.74218070.5535514840.0915290660.189214812.328295523.38849.5797.60616.92627.210694.99550.4611379285.461723521.291317592.971897703.881475849.6821.8722.2010.089.9410.459.5012.544.1622.0137.4814.1010.5225.0330.75294.653275.3814.77010.314322432634.1313220071520352757356751.8439.8625.021.623418851197198.01297582.5112.4976.61594.93714.4736.37714.5731.876114.896191.741690.96315707.54430.3537100.7003320.8577039.2003015.918233.414320.043832.024180.8016711661.7760.44651186579.06690691187.89124.92422.5651.6112.57319.0108.51439.01338124375.59657.0411021.849.9410360.548.2110448.231.4274176211.557670.7846522.072470.7423230.8606792.305642.319475.492202.025801.436711177.12823.7451201.41838.9900.5182691109.29839.8520.88175215.9016.1956.4657.5634.3853.26126.24181.720.3481.0361.3782.972194.1920.4354.7098232488115398550483.40425.696209.247318.0832.79921.120296614.545.28763691.387101811764840228.641754.2758566286810.03520160.4968167560.06114132470.071223922.343231710.043202049.56517840.5616192190.0817082340.141233732.140277303.61251.9047.74612.39117.658687.08456.7851388985.481818648.351365777.401888968.341498592.4368.4346.4633.1831.7331.5336.4540.1811.4042.9554.1921.2411.0746.8945.78316.823274.327322779429.0787416621063272557290551.7254.5624.611.78632495951085.71328030.9112.6956.51630.93614.4736.55814.5734.818112.076191.127690.86814.9710.33330.1860100.3716720.6295739.0294016.456733.423790.043962.055120.826499370.0980.44642185994.09603175186.39624.92022.3851.6042.58018.7688.52339.27437519864.59652.0011114.349.6710409.948.8310473.331.1474190021.523950.8163062.030420.7522900.8688642.262692.365724.875231.991721.468411166.56848.2491182.17827.2230.5291861222.20822.7710.89033315.9416.1356.2957.3734.3153.22126.79180.390.3461.0301.3692.967193.4020.2054.6397582753116524954483.96425.796212.024322.4932.83921.080301799.885.27863239.287280911597640591.041926.2754906292570.03420010.5007975660.06314072710.071228221.917232950.043200749.87617940.5586255120.0807150450.140231212.164277203.61451.8547.80812.41417.601689.47156.4261380069.401814208.701368468.711996216.741580536.8139.1647.4432.6332.1829.7333.4547.1510.8440.6555.5530.4810.8944.5550.92299.447274.129322198292.3995516951078277357779653.0254.1824.511.75638663949471.81345908.1112.4046.41643.49014.4737.22714.5733.819113.380189.297670.01815.1702.12328.116199.0647020.0794335.9138716.123573.217820.042792.040330.802618695.0620.45475163435.01632332188.26224.54919.9621.6112.58319.1988.55639.35238477706.39632.3911168.749.2410402.748.0810602.431.9373859931.672890.8917762.090220.7921530.9281382.445382.307683.650622.107001.501201290.07907.0711334.58873.5900.5674971407.98882.0550.95990415.8316.0456.4357.3133.8452.76126.88181.260.3431.0161.3582.927194.9719.9953.8397376595116189232482.27525.950211.787320.6532.82921.139308314.455.25176438.696329614826345501.849006.2823112294520.03420070.4988254480.06113884650.072227621.981233960.043200250.00617660.5666336360.0797290930.137233602.141275203.63952.0497.78912.42117.704689.79958.6591508834.921784823.371345722.501852789.071519952.9343.0660.7834.7033.5032.4739.1243.8613.1657.4669.5624.8012.1456.4849.62322.302274.450322561482.0050816541075272957283353.7351.4624.551.70629706944430.61337280.4OpenBenchmarking.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: Hot ReadEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P306090120150SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.50, N = 4SE +/- 1.40, N = 3SE +/- 1.04, N = 15SE +/- 1.54, N = 339.7740.6240.99112.40112.50112.701. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P20406080100Min: 39.53 / Avg: 39.77 / Max: 39.97Min: 40.36 / Avg: 40.62 / Max: 40.85Min: 39.79 / Avg: 40.99 / Max: 42.09Min: 110.25 / Avg: 112.4 / Max: 115.03Min: 106.07 / Avg: 112.5 / Max: 121.45Min: 111.04 / Avg: 112.7 / Max: 115.771. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F72246810SE +/- 0.07, N = 15SE +/- 0.06, N = 8SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.66.56.44.54.54.51. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F723691215Min: 6.2 / Avg: 6.61 / Max: 7.1Min: 6.3 / Avg: 6.46 / Max: 6.8Min: 6.3 / Avg: 6.43 / Max: 6.6Min: 4.5 / Avg: 4.5 / Max: 4.5Min: 4.5 / Avg: 4.5 / Max: 4.5Min: 4.5 / Avg: 4.5 / Max: 4.51. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P400800120016002000SE +/- 8.92, N = 3SE +/- 4.35, N = 3SE +/- 2.23, N = 3SE +/- 17.18, N = 15SE +/- 15.97, N = 8SE +/- 19.99, N = 31162.711163.461168.581594.941630.941643.491. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P30060090012001500Min: 1144.88 / Avg: 1162.71 / Max: 1171.66Min: 1154.97 / Avg: 1163.46 / Max: 1169.36Min: 1164.76 / Avg: 1168.58 / Max: 1172.5Min: 1479.7 / Avg: 1594.94 / Max: 1697.79Min: 1535.64 / Avg: 1630.94 / Max: 1676.25Min: 1605.44 / Avg: 1643.49 / Max: 1673.121. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteAMD EPYC 7F72AMD 7F72EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P612182430SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 323.223.223.114.414.414.41. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteAMD EPYC 7F72AMD 7F72EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P510152025Min: 23.1 / Avg: 23.2 / Max: 23.3Min: 23.1 / Avg: 23.2 / Max: 23.3Min: 23.1 / Avg: 23.13 / Max: 23.2Min: 14.4 / Avg: 14.4 / Max: 14.4Min: 14.4 / Avg: 14.4 / Max: 14.4Min: 14.4 / Avg: 14.43 / Max: 14.51. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteAMD 7F72AMD EPYC 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P160320480640800SE +/- 0.71, N = 3SE +/- 0.57, N = 3SE +/- 0.36, N = 3SE +/- 1.17, N = 3SE +/- 0.59, N = 3SE +/- 0.43, N = 3228.70228.71229.12736.38736.56737.231. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteAMD 7F72AMD EPYC 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P130260390520650Min: 227.46 / Avg: 228.7 / Max: 229.9Min: 227.57 / Avg: 228.71 / Max: 229.35Min: 228.43 / Avg: 229.12 / Max: 229.66Min: 734.2 / Avg: 736.38 / Max: 738.2Min: 735.96 / Avg: 736.56 / Max: 737.73Min: 736.45 / Avg: 737.23 / Max: 737.951. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P612182430SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 323.323.223.214.514.514.51. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P510152025Min: 23.2 / Avg: 23.27 / Max: 23.3Min: 23.2 / Avg: 23.2 / Max: 23.2Min: 23.2 / Avg: 23.2 / Max: 23.2Min: 14.4 / Avg: 14.47 / Max: 14.6Min: 14.4 / Avg: 14.47 / Max: 14.5Min: 14.5 / Avg: 14.5 / Max: 14.51. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillEPYC 7F72AMD EPYC 7F72AMD 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P160320480640800SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 1.35, N = 3SE +/- 3.93, N = 3SE +/- 2.04, N = 3228.04228.32228.61731.88733.82734.821. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillEPYC 7F72AMD EPYC 7F72AMD 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P130260390520650Min: 227.7 / Avg: 228.04 / Max: 228.51Min: 228.13 / Avg: 228.32 / Max: 228.54Min: 228.28 / Avg: 228.61 / Max: 228.91Min: 729.22 / Avg: 731.88 / Max: 733.62Min: 726.01 / Avg: 733.82 / Max: 738.46Min: 731.97 / Avg: 734.82 / Max: 738.781. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadEPYC 7F72AMD EPYC 7F72AMD 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P306090120150SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.44, N = 4SE +/- 0.91, N = 3SE +/- 1.08, N = 15SE +/- 1.04, N = 1539.8740.0340.38112.08113.38114.901. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadEPYC 7F72AMD EPYC 7F72AMD 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P20406080100Min: 39.63 / Avg: 39.87 / Max: 40.23Min: 39.66 / Avg: 40.03 / Max: 40.39Min: 39.65 / Avg: 40.38 / Max: 41.6Min: 110.46 / Avg: 112.08 / Max: 113.62Min: 107.54 / Avg: 113.38 / Max: 121.14Min: 106.18 / Avg: 114.9 / Max: 123.241. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomAMD 7F72EPYC 7F72AMD EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P4080120160200SE +/- 0.14, N = 3SE +/- 0.66, N = 3SE +/- 0.52, N = 3SE +/- 0.57, N = 3SE +/- 0.59, N = 3SE +/- 1.65, N = 363.7564.3464.87189.30191.13191.741. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomAMD 7F72EPYC 7F72AMD EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P4080120160200Min: 63.5 / Avg: 63.75 / Max: 63.98Min: 63.57 / Avg: 64.34 / Max: 65.65Min: 63.83 / Avg: 64.87 / Max: 65.4Min: 188.21 / Avg: 189.3 / Max: 190.12Min: 190.36 / Avg: 191.13 / Max: 192.28Min: 188.96 / Avg: 191.74 / Max: 194.681. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P150300450600750SE +/- 0.57, N = 3SE +/- 0.20, N = 3SE +/- 0.41, N = 3SE +/- 3.35, N = 3SE +/- 7.14, N = 3SE +/- 1.87, N = 3209.85210.33210.65670.02690.87690.961. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P120240360480600Min: 208.72 / Avg: 209.85 / Max: 210.59Min: 210.04 / Avg: 210.33 / Max: 210.71Min: 210.14 / Avg: 210.65 / Max: 211.45Min: 663.38 / Avg: 670.02 / Max: 674.15Min: 676.58 / Avg: 690.87 / Max: 698.1Min: 688.75 / Avg: 690.96 / Max: 694.691. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P612182430SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 324.124.024.015.115.014.91. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P612182430Min: 24.1 / Avg: 24.1 / Max: 24.1Min: 24 / Avg: 24.03 / Max: 24.1Min: 23.9 / Avg: 24 / Max: 24.1Min: 15 / Avg: 15.1 / Max: 15.2Min: 14.8 / Avg: 14.93 / Max: 151. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillEPYC 7F72AMD 7F72AMD EPYC 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P150300450600750SE +/- 0.18, N = 3SE +/- 0.58, N = 3SE +/- 0.16, N = 3SE +/- 2.29, N = 3SE +/- 0.53, N = 3SE +/- 2.35, N = 3220.33220.80220.87702.12707.54710.331. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillEPYC 7F72AMD 7F72AMD EPYC 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P130260390520650Min: 219.99 / Avg: 220.33 / Max: 220.6Min: 219.82 / Avg: 220.8 / Max: 221.82Min: 220.55 / Avg: 220.87 / Max: 221.04Min: 697.79 / Avg: 702.12 / Max: 705.6Min: 706.82 / Avg: 707.54 / Max: 708.58Min: 707.08 / Avg: 710.33 / Max: 714.891. (CXX) g++ options: -O3 -lsnappy -lpthread

yquake2

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

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 1080AMD 7F72AMD EPYC 7F72EPYC 7F72612182430SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 323.714.514.51. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 1080AMD 7F72AMD EPYC 7F72EPYC 7F72612182430Min: 23.6 / Avg: 23.73 / Max: 23.9Min: 14.5 / Avg: 14.53 / Max: 14.6Min: 14.5 / Avg: 14.5 / Max: 14.51. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F72714212835SE +/- 0.30, N = 3SE +/- 0.02, N = 3SE +/- 0.41, N = 12SE +/- 0.17, N = 3SE +/- 0.25, N = 12SE +/- 0.32, N = 1230.3530.1928.1215.4515.0014.971. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F72714212835Min: 30.04 / Avg: 30.35 / Max: 30.94Min: 30.15 / Avg: 30.19 / Max: 30.22Min: 25.34 / Avg: 28.12 / Max: 30.13Min: 15.1 / Avg: 15.45 / Max: 15.65Min: 13.09 / Avg: 15 / Max: 15.67Min: 12.94 / Avg: 14.97 / Max: 15.761. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

HPC Challenge

HPC Challenge (HPCC) is a cluster-focused benchmark consisting of the HPL Linpack TPP benchmark, DGEMM, STREAM, PTRANS, RandomAccess, FFT, and communication bandwidth and latency. This HPC Challenge test profile attempts to ship with standard yet versatile configuration/input files though they can be modified. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-HPLAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7220406080100SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.30, N = 3SE +/- 0.39, N = 3SE +/- 0.42, N = 3100.70100.3799.0687.3187.2586.881. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-HPLAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7220406080100Min: 100.62 / Avg: 100.7 / Max: 100.75Min: 100.18 / Avg: 100.37 / Max: 100.52Min: 98.84 / Avg: 99.06 / Max: 99.45Min: 86.73 / Avg: 87.31 / Max: 87.73Min: 86.63 / Avg: 87.25 / Max: 87.98Min: 86.05 / Avg: 86.88 / Max: 87.421. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-FfteAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72510152025SE +/- 0.18996, N = 3SE +/- 0.25898, N = 3SE +/- 0.86449, N = 3SE +/- 1.15527, N = 3SE +/- 0.73072, N = 3SE +/- 0.56601, N = 320.8577020.6295720.079439.872389.418958.431211. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-FfteAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72510152025Min: 20.51 / Avg: 20.86 / Max: 21.16Min: 20.12 / Avg: 20.63 / Max: 20.96Min: 18.35 / Avg: 20.08 / Max: 20.97Min: 7.56 / Avg: 9.87 / Max: 11.05Min: 8.31 / Avg: 9.42 / Max: 10.8Min: 7.51 / Avg: 8.43 / Max: 9.461. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: EP-DGEMMAMD EPYC 7F72 2PEPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F727F72 2P918273645SE +/- 0.14, N = 3SE +/- 0.36, N = 3SE +/- 0.85, N = 3SE +/- 0.48, N = 3SE +/- 0.60, N = 3SE +/- 0.19, N = 339.2039.0336.7736.4436.1435.911. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: EP-DGEMMAMD EPYC 7F72 2PEPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F727F72 2P816243240Min: 38.93 / Avg: 39.2 / Max: 39.42Min: 38.32 / Avg: 39.03 / Max: 39.48Min: 35.57 / Avg: 36.77 / Max: 38.41Min: 35.49 / Avg: 36.44 / Max: 37.09Min: 35.08 / Avg: 36.14 / Max: 37.16Min: 35.53 / Avg: 35.91 / Max: 36.111. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-PtransEPYC 7F72 2P7F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F7248121620SE +/- 0.32220, N = 3SE +/- 0.83051, N = 3SE +/- 0.20382, N = 3SE +/- 0.32995, N = 3SE +/- 0.42362, N = 3SE +/- 0.43146, N = 316.4567316.1235715.918238.285558.175537.757391. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-PtransEPYC 7F72 2P7F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F7248121620Min: 15.92 / Avg: 16.46 / Max: 17.04Min: 14.46 / Avg: 16.12 / Max: 17.01Min: 15.64 / Avg: 15.92 / Max: 16.31Min: 7.63 / Avg: 8.29 / Max: 8.63Min: 7.33 / Avg: 8.18 / Max: 8.61Min: 7.29 / Avg: 7.76 / Max: 8.621. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: EP-STREAM TriadEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72AMD EPYC 7F727F72 2PEPYC 7F720.77041.54082.31123.08163.852SE +/- 0.00319, N = 3SE +/- 0.01458, N = 3SE +/- 0.00767, N = 3SE +/- 0.06266, N = 3SE +/- 0.13098, N = 3SE +/- 0.13922, N = 33.423793.414323.382203.299233.217823.116271. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: EP-STREAM TriadEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72AMD EPYC 7F727F72 2PEPYC 7F72246810Min: 3.42 / Avg: 3.42 / Max: 3.43Min: 3.39 / Avg: 3.41 / Max: 3.43Min: 3.37 / Avg: 3.38 / Max: 3.39Min: 3.17 / Avg: 3.3 / Max: 3.36Min: 2.96 / Avg: 3.22 / Max: 3.36Min: 2.94 / Avg: 3.12 / Max: 3.391. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGUP/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Random AccessEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F720.00990.01980.02970.03960.0495SE +/- 0.00002, N = 3SE +/- 0.00017, N = 3SE +/- 0.00060, N = 3SE +/- 0.00015, N = 3SE +/- 0.00105, N = 3SE +/- 0.00070, N = 30.043960.043830.042790.031440.030510.030371. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGUP/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Random AccessEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F7212345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.031. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgusecs, Fewer Is BetterHPC Challenge 1.5.0Test / Class: Random Ring LatencyAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P0.46240.92481.38721.84962.312SE +/- 0.01464, N = 3SE +/- 0.01886, N = 3SE +/- 0.00865, N = 3SE +/- 0.01426, N = 3SE +/- 0.01822, N = 3SE +/- 0.03528, N = 31.157171.162761.168692.024182.040332.055121. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgusecs, Fewer Is BetterHPC Challenge 1.5.0Test / Class: Random Ring LatencyAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P246810Min: 1.13 / Avg: 1.16 / Max: 1.18Min: 1.13 / Avg: 1.16 / Max: 1.2Min: 1.16 / Avg: 1.17 / Max: 1.19Min: 2 / Avg: 2.02 / Max: 2.05Min: 2.01 / Avg: 2.04 / Max: 2.07Min: 1.99 / Avg: 2.06 / Max: 2.111. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Random Ring BandwidthAMD EPYC 7F72AMD 7F72EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P0.61431.22861.84292.45723.0715SE +/- 0.03283, N = 3SE +/- 0.06549, N = 3SE +/- 0.01911, N = 3SE +/- 0.02292, N = 3SE +/- 0.00700, N = 3SE +/- 0.00576, N = 32.730352.725152.710760.826490.802610.801671. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Random Ring BandwidthAMD EPYC 7F72AMD 7F72EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P246810Min: 2.66 / Avg: 2.73 / Max: 2.76Min: 2.6 / Avg: 2.73 / Max: 2.81Min: 2.67 / Avg: 2.71 / Max: 2.74Min: 0.79 / Avg: 0.83 / Max: 0.87Min: 0.79 / Avg: 0.8 / Max: 0.81Min: 0.8 / Avg: 0.8 / Max: 0.811. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgMB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Max Ping Pong BandwidthAMD EPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F72EPYC 7F72 2P7F72 2P2K4K6K8K10KSE +/- 491.47, N = 3SE +/- 1135.29, N = 3SE +/- 760.03, N = 3SE +/- 564.95, N = 3SE +/- 437.93, N = 3SE +/- 296.59, N = 311661.7810456.2910110.269566.509370.108695.061. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3
OpenBenchmarking.orgMB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Max Ping Pong BandwidthAMD EPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F72EPYC 7F72 2P7F72 2P2K4K6K8K10KMin: 10682.36 / Avg: 11661.78 / Max: 12223.45Min: 8498.65 / Avg: 10456.29 / Max: 12431.28Min: 8702.82 / Avg: 10110.26 / Max: 11311.26Min: 8667.35 / Avg: 9566.5 / Max: 10608.64Min: 8581.08 / Avg: 9370.1 / Max: 10093.9Min: 8135.84 / Avg: 8695.06 / Max: 9145.971. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F720.20090.40180.60270.80361.0045SE +/- 0.00027, N = 3SE +/- 0.00014, N = 3SE +/- 0.00250, N = 3SE +/- 0.00402, N = 3SE +/- 0.00562, N = 3SE +/- 0.01077, N = 30.446420.446510.454750.875320.881690.89277
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72246810Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.46Min: 0.87 / Avg: 0.88 / Max: 0.88Min: 0.87 / Avg: 0.88 / Max: 0.89Min: 0.88 / Avg: 0.89 / Max: 0.91

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F7240K80K120K160K200KSE +/- 2264.92, N = 4SE +/- 2641.44, N = 3SE +/- 2147.54, N = 15SE +/- 1183.24, N = 3SE +/- 1183.09, N = 3SE +/- 1197.97, N = 4186579.07185994.10163435.02113220.20111181.74111004.661. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F7230K60K90K120K150KMin: 182616.87 / Avg: 186579.07 / Max: 192633.36Min: 182318.5 / Avg: 185994.1 / Max: 191118.08Min: 146573.22 / Avg: 163435.02 / Max: 174724.3Min: 111881.55 / Avg: 113220.2 / Max: 115579.54Min: 109161.14 / Avg: 111181.74 / Max: 113258.33Min: 109385.83 / Avg: 111004.66 / Max: 114487.261. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchAMD EPYC 7F72EPYC 7F72AMD 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P4080120160200SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.78, N = 3SE +/- 0.64, N = 3SE +/- 0.09, N = 3142.08142.12142.13186.40187.89188.261. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchAMD EPYC 7F72EPYC 7F72AMD 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P306090120150Min: 141.82 / Avg: 142.08 / Max: 142.3Min: 141.96 / Avg: 142.11 / Max: 142.33Min: 142.09 / Avg: 142.13 / Max: 142.15Min: 185.31 / Avg: 186.4 / Max: 187.91Min: 186.64 / Avg: 187.89 / Max: 188.79Min: 188.11 / Avg: 188.26 / Max: 188.41. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72612182430SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 324.9224.9224.5515.8215.7915.781. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72612182430Min: 24.88 / Avg: 24.92 / Max: 25Min: 24.81 / Avg: 24.92 / Max: 25Min: 24.37 / Avg: 24.55 / Max: 24.68Min: 15.71 / Avg: 15.82 / Max: 15.96Min: 15.75 / Avg: 15.79 / Max: 15.86Min: 15.76 / Avg: 15.78 / Max: 15.81. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72510152025SE +/- 0.43, N = 15SE +/- 0.25, N = 3SE +/- 0.22, N = 5SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 322.5722.3919.9612.1311.7111.701. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72510152025Min: 20.17 / Avg: 22.57 / Max: 24.68Min: 22.1 / Avg: 22.39 / Max: 22.88Min: 19.52 / Avg: 19.96 / Max: 20.79Min: 11.96 / Avg: 12.13 / Max: 12.22Min: 11.67 / Avg: 11.71 / Max: 11.73Min: 11.55 / Avg: 11.7 / Max: 11.781. (CXX) g++ options: -O3 -pthread -lm

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.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultAMD 7F72EPYC 7F72 2PEPYC 7F72AMD EPYC 7F72 2P7F72 2PAMD EPYC 7F720.36270.72541.08811.45081.8135SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 31.6021.6041.6111.6111.6111.6121. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultAMD 7F72EPYC 7F72 2PEPYC 7F72AMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72246810Min: 1.6 / Avg: 1.6 / Max: 1.61Min: 1.6 / Avg: 1.6 / Max: 1.61Min: 1.6 / Avg: 1.61 / Max: 1.62Min: 1.61 / Avg: 1.61 / Max: 1.61Min: 1.61 / Avg: 1.61 / Max: 1.61Min: 1.61 / Avg: 1.61 / Max: 1.621. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F720.58411.16821.75232.33642.9205SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 32.5732.5802.5832.5852.5912.5961. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F72246810Min: 2.57 / Avg: 2.57 / Max: 2.57Min: 2.58 / Avg: 2.58 / Max: 2.58Min: 2.58 / Avg: 2.58 / Max: 2.59Min: 2.58 / Avg: 2.58 / Max: 2.59Min: 2.58 / Avg: 2.59 / Max: 2.6Min: 2.59 / Avg: 2.6 / Max: 2.61. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F727F72 2P510152025SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 318.7719.0119.0219.0219.0419.201. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F727F72 2P510152025Min: 18.62 / Avg: 18.77 / Max: 19.01Min: 18.92 / Avg: 19.01 / Max: 19.08Min: 19.01 / Avg: 19.02 / Max: 19.03Min: 19 / Avg: 19.02 / Max: 19.05Min: 19.02 / Avg: 19.04 / Max: 19.08Min: 19.07 / Avg: 19.2 / Max: 19.371. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionAMD EPYC 7F72 2PEPYC 7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2P246810SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.021, N = 3SE +/- 0.027, N = 38.5148.5238.5388.5488.5498.5561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionAMD EPYC 7F72 2PEPYC 7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F727F72 2P3691215Min: 8.51 / Avg: 8.51 / Max: 8.53Min: 8.51 / Avg: 8.52 / Max: 8.54Min: 8.53 / Avg: 8.54 / Max: 8.55Min: 8.55 / Avg: 8.55 / Max: 8.55Min: 8.53 / Avg: 8.55 / Max: 8.59Min: 8.53 / Avg: 8.56 / Max: 8.611. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionAMD EPYC 7F72 2PAMD 7F72EPYC 7F72 2PEPYC 7F72AMD EPYC 7F727F72 2P918273645SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 339.0139.1739.2739.2839.3439.351. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionAMD EPYC 7F72 2PAMD 7F72EPYC 7F72 2PEPYC 7F72AMD EPYC 7F727F72 2P816243240Min: 38.96 / Avg: 39.01 / Max: 39.11Min: 39.09 / Avg: 39.17 / Max: 39.33Min: 39.25 / Avg: 39.27 / Max: 39.32Min: 39.1 / Avg: 39.28 / Max: 39.38Min: 39.17 / Avg: 39.34 / Max: 39.49Min: 39.1 / Avg: 39.35 / Max: 39.571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 27F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F72 2PEPYC 7F728M16M24M32M40MSE +/- 523722.43, N = 3SE +/- 218663.85, N = 3SE +/- 93255.90, N = 3SE +/- 231062.98, N = 3SE +/- 455276.37, N = 3SE +/- 295946.74, N = 1238477706.338124375.537624546.937547272.937519864.537455257.2
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 27F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F72 2PEPYC 7F727M14M21M28M35MMin: 37786879.9 / Avg: 38477706.33 / Max: 39504973.4Min: 37764703.2 / Avg: 38124375.47 / Max: 38519661.2Min: 37523480.1 / Avg: 37624546.93 / Max: 37810834.2Min: 37101722.6 / Avg: 37547272.9 / Max: 37876274.2Min: 36709387.9 / Avg: 37519864.53 / Max: 38284512.7Min: 36026099.6 / Avg: 37455257.24 / Max: 39383837.8

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedAMD EPYC 7F72EPYC 7F72AMD 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P2K4K6K8K10KSE +/- 17.93, N = 3SE +/- 29.36, N = 3SE +/- 22.56, N = 3SE +/- 55.92, N = 3SE +/- 79.54, N = 3SE +/- 45.18, N = 39780.389777.439740.169657.049652.009632.391. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedAMD EPYC 7F72EPYC 7F72AMD 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P2K4K6K8K10KMin: 9751.48 / Avg: 9780.38 / Max: 9813.23Min: 9722.63 / Avg: 9777.43 / Max: 9823.08Min: 9710.44 / Avg: 9740.16 / Max: 9784.42Min: 9566.8 / Avg: 9657.04 / Max: 9759.38Min: 9547.98 / Avg: 9652 / Max: 9808.23Min: 9545.13 / Avg: 9632.39 / Max: 9696.331. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedAMD EPYC 7F72EPYC 7F72AMD 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P2K4K6K8K10KSE +/- 28.90, N = 3SE +/- 35.72, N = 3SE +/- 3.46, N = 3SE +/- 80.64, N = 3SE +/- 54.20, N = 3SE +/- 47.03, N = 311314.611308.911271.411168.711114.311021.81. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedAMD EPYC 7F72EPYC 7F72AMD 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P2K4K6K8K10KMin: 11258.5 / Avg: 11314.6 / Max: 11354.7Min: 11273.1 / Avg: 11308.87 / Max: 11380.3Min: 11266.3 / Avg: 11271.4 / Max: 11278Min: 11014.5 / Avg: 11168.7 / Max: 11286.7Min: 11007 / Avg: 11114.3 / Max: 11181.3Min: 10963.6 / Avg: 11021.8 / Max: 11114.91. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7F72AMD 7F72AMD EPYC 7F72 2PEPYC 7F72 2PAMD EPYC 7F727F72 2P1122334455SE +/- 0.55, N = 4SE +/- 0.36, N = 3SE +/- 0.49, N = 6SE +/- 0.61, N = 4SE +/- 0.05, N = 3SE +/- 0.56, N = 1550.7850.5449.9449.6749.3149.241. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7F72AMD 7F72AMD EPYC 7F72 2PEPYC 7F72 2PAMD EPYC 7F727F72 2P1020304050Min: 49.99 / Avg: 50.78 / Max: 52.35Min: 49.82 / Avg: 50.54 / Max: 50.94Min: 49.12 / Avg: 49.94 / Max: 51.59Min: 49 / Avg: 49.67 / Max: 51.5Min: 49.22 / Avg: 49.31 / Max: 49.36Min: 44.07 / Avg: 49.24 / Max: 51.231. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedAMD 7F72EPYC 7F72AMD EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P2K4K6K8K10KSE +/- 1.64, N = 3SE +/- 37.48, N = 4SE +/- 18.01, N = 3SE +/- 72.96, N = 4SE +/- 35.55, N = 15SE +/- 35.35, N = 610661.510606.310548.810409.910402.710360.51. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedAMD 7F72EPYC 7F72AMD EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P2K4K6K8K10KMin: 10658.3 / Avg: 10661.47 / Max: 10663.8Min: 10520 / Avg: 10606.33 / Max: 10683.5Min: 10513.1 / Avg: 10548.77 / Max: 10571Min: 10265.2 / Avg: 10409.85 / Max: 10537.8Min: 10135.6 / Avg: 10402.73 / Max: 10629.1Min: 10307.4 / Avg: 10360.48 / Max: 10530.71. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7F72AMD EPYC 7F72EPYC 7F72 2PAMD 7F72AMD EPYC 7F72 2P7F72 2P1122334455SE +/- 0.51, N = 5SE +/- 0.42, N = 3SE +/- 0.62, N = 3SE +/- 0.54, N = 5SE +/- 0.41, N = 3SE +/- 0.31, N = 349.7048.9848.8348.3348.2148.081. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7F72AMD EPYC 7F72EPYC 7F72 2PAMD 7F72AMD EPYC 7F72 2P7F72 2P1020304050Min: 48.53 / Avg: 49.7 / Max: 50.9Min: 48.14 / Avg: 48.98 / Max: 49.48Min: 47.77 / Avg: 48.83 / Max: 49.91Min: 46.91 / Avg: 48.33 / Max: 49.98Min: 47.75 / Avg: 48.21 / Max: 49.03Min: 47.46 / Avg: 48.08 / Max: 48.471. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAMD EPYC 7F72EPYC 7F72AMD 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P2K4K6K8K10KSE +/- 8.87, N = 3SE +/- 28.09, N = 5SE +/- 22.43, N = 5SE +/- 45.57, N = 3SE +/- 99.24, N = 3SE +/- 50.17, N = 310685.710630.910616.010602.410473.310448.21. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAMD EPYC 7F72EPYC 7F72AMD 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P2K4K6K8K10KMin: 10668 / Avg: 10685.7 / Max: 10695.7Min: 10579.5 / Avg: 10630.88 / Max: 10710.9Min: 10577.3 / Avg: 10616.04 / Max: 10671Min: 10514.3 / Avg: 10602.43 / Max: 10666.6Min: 10305.6 / Avg: 10473.27 / Max: 10649.1Min: 10355.3 / Avg: 10448.2 / Max: 10527.51. (CC) gcc options: -O3

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7F72AMD 7F72AMD EPYC 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P816243240SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.32, N = 335.1135.0134.9631.9331.4231.141. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7F72AMD 7F72AMD EPYC 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P816243240Min: 34.99 / Avg: 35.11 / Max: 35.32Min: 34.83 / Avg: 35.01 / Max: 35.18Min: 34.84 / Avg: 34.96 / Max: 35.07Min: 31.63 / Avg: 31.93 / Max: 32.24Min: 31.23 / Avg: 31.42 / Max: 31.68Min: 30.51 / Avg: 31.14 / Max: 31.541. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7F72 2PAMD EPYC 7F72 2PEPYC 7F727F72 2PAMD 7F72AMD EPYC 7F721.6M3.2M4.8M6.4M8MSE +/- 4184.78, N = 3SE +/- 1368.48, N = 3SE +/- 14432.27, N = 3SE +/- 15876.84, N = 3SE +/- 15235.97, N = 3SE +/- 62574.81, N = 37419002741762174063097385993738291673592171. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7F72 2PAMD EPYC 7F72 2PEPYC 7F727F72 2PAMD 7F72AMD EPYC 7F721.3M2.6M3.9M5.2M6.5MMin: 7410787 / Avg: 7419001.67 / Max: 7424497Min: 7415815 / Avg: 7417621 / Max: 7420305Min: 7383037 / Avg: 7406309.33 / Max: 7432733Min: 7354988 / Avg: 7385993.33 / Max: 7407431Min: 7361528 / Avg: 7382916.33 / Max: 7412407Min: 7235678 / Avg: 7359216.67 / Max: 74383201. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F720.39010.78021.17031.56041.9505SE +/- 0.01312, N = 3SE +/- 0.01626, N = 5SE +/- 0.01869, N = 5SE +/- 0.00210, N = 3SE +/- 0.00365, N = 3SE +/- 0.01016, N = 31.523951.557671.672891.727651.730511.73388MIN: 1.3MIN: 1.3MIN: 1.31MIN: 1.58MIN: 1.58MIN: 1.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F72246810Min: 1.5 / Avg: 1.52 / Max: 1.55Min: 1.53 / Avg: 1.56 / Max: 1.62Min: 1.62 / Avg: 1.67 / Max: 1.71Min: 1.73 / Avg: 1.73 / Max: 1.73Min: 1.73 / Avg: 1.73 / Max: 1.74Min: 1.72 / Avg: 1.73 / Max: 1.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F720.6261.2521.8782.5043.13SE +/- 0.007882, N = 6SE +/- 0.009922, N = 3SE +/- 0.008788, N = 3SE +/- 0.017798, N = 3SE +/- 0.011681, N = 3SE +/- 0.013730, N = 30.7846520.8163060.8917762.7500402.7781502.782140MIN: 0.67MIN: 0.69MIN: 0.72MIN: 2.48MIN: 2.48MIN: 2.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72246810Min: 0.76 / Avg: 0.78 / Max: 0.82Min: 0.8 / Avg: 0.82 / Max: 0.83Min: 0.87 / Avg: 0.89 / Max: 0.9Min: 2.73 / Avg: 2.75 / Max: 2.79Min: 2.76 / Avg: 2.78 / Max: 2.8Min: 2.76 / Avg: 2.78 / Max: 2.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P0.47030.94061.41091.88122.3515SE +/- 0.00516, N = 3SE +/- 0.00056, N = 3SE +/- 0.00957, N = 3SE +/- 0.01974, N = 6SE +/- 0.02566, N = 4SE +/- 0.01869, N = 71.426451.426691.437822.030422.072472.09022MIN: 1.33MIN: 1.32MIN: 1.33MIN: 1.66MIN: 1.66MIN: 1.741. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P246810Min: 1.42 / Avg: 1.43 / Max: 1.44Min: 1.43 / Avg: 1.43 / Max: 1.43Min: 1.42 / Avg: 1.44 / Max: 1.45Min: 1.96 / Avg: 2.03 / Max: 2.08Min: 2.02 / Avg: 2.07 / Max: 2.14Min: 2.01 / Avg: 2.09 / Max: 2.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F720.18880.37760.56640.75520.944SE +/- 0.000920, N = 3SE +/- 0.002974, N = 3SE +/- 0.002965, N = 3SE +/- 0.009511, N = 3SE +/- 0.001315, N = 3SE +/- 0.017578, N = 120.5917020.5928040.7423230.7522900.7921530.839025MIN: 0.5MIN: 0.51MIN: 0.67MIN: 0.67MIN: 0.66MIN: 0.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72246810Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.59 / Avg: 0.59 / Max: 0.6Min: 0.74 / Avg: 0.74 / Max: 0.75Min: 0.73 / Avg: 0.75 / Max: 0.76Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 0.74 / Avg: 0.84 / Max: 0.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F720.65331.30661.95992.61323.2665SE +/- 0.011932, N = 3SE +/- 0.002168, N = 3SE +/- 0.005045, N = 3SE +/- 0.018414, N = 3SE +/- 0.008471, N = 3SE +/- 0.008767, N = 30.8606790.8688640.9281382.8364802.8493602.903420MIN: 0.79MIN: 0.79MIN: 0.79MIN: 2.45MIN: 2.46MIN: 2.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F72246810Min: 0.84 / Avg: 0.86 / Max: 0.88Min: 0.86 / Avg: 0.87 / Max: 0.87Min: 0.92 / Avg: 0.93 / Max: 0.94Min: 2.81 / Avg: 2.84 / Max: 2.87Min: 2.83 / Avg: 2.85 / Max: 2.86Min: 2.89 / Avg: 2.9 / Max: 2.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F727F72 2P0.55021.10041.65062.20082.751SE +/- 0.02846, N = 15SE +/- 0.03458, N = 12SE +/- 0.02163, N = 3SE +/- 0.01986, N = 3SE +/- 0.00293, N = 3SE +/- 0.03614, N = 152.262692.305642.341522.357262.359462.44538MIN: 1.86MIN: 1.86MIN: 2.1MIN: 2.1MIN: 2.12MIN: 1.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F727F72 2P246810Min: 2.08 / Avg: 2.26 / Max: 2.44Min: 2.1 / Avg: 2.31 / Max: 2.44Min: 2.3 / Avg: 2.34 / Max: 2.38Min: 2.34 / Avg: 2.36 / Max: 2.4Min: 2.35 / Avg: 2.36 / Max: 2.36Min: 2.12 / Avg: 2.45 / Max: 2.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU7F72 2PAMD EPYC 7F72 2PEPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F720.70891.41782.12672.83563.5445SE +/- 0.03863, N = 15SE +/- 0.05452, N = 12SE +/- 0.02839, N = 3SE +/- 0.01523, N = 3SE +/- 0.01746, N = 3SE +/- 0.01172, N = 32.307682.319472.365723.138783.144993.15047MIN: 1.95MIN: 1.96MIN: 2.01MIN: 2.98MIN: 2.97MIN: 2.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU7F72 2PAMD EPYC 7F72 2PEPYC 7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F72246810Min: 2.13 / Avg: 2.31 / Max: 2.57Min: 2.09 / Avg: 2.32 / Max: 2.7Min: 2.32 / Avg: 2.37 / Max: 2.42Min: 3.11 / Avg: 3.14 / Max: 3.17Min: 3.11 / Avg: 3.14 / Max: 3.16Min: 3.13 / Avg: 3.15 / Max: 3.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU7F72 2PEPYC 7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2P1.23572.47143.70714.94286.1785SE +/- 0.04554, N = 3SE +/- 0.48144, N = 12SE +/- 0.01527, N = 3SE +/- 0.02370, N = 3SE +/- 0.03533, N = 3SE +/- 0.51653, N = 143.650624.875235.303205.359505.363305.49220MIN: 2.99MIN: 2.89MIN: 4.97MIN: 4.96MIN: 4.96MIN: 2.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU7F72 2PEPYC 7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2P246810Min: 3.59 / Avg: 3.65 / Max: 3.74Min: 3.2 / Avg: 4.88 / Max: 7.49Min: 5.27 / Avg: 5.3 / Max: 5.33Min: 5.31 / Avg: 5.36 / Max: 5.38Min: 5.3 / Avg: 5.36 / Max: 5.42Min: 3.26 / Avg: 5.49 / Max: 7.991. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F72246810SE +/- 0.01945, N = 3SE +/- 0.01946, N = 3SE +/- 0.01009, N = 3SE +/- 0.03710, N = 3SE +/- 0.00849, N = 3SE +/- 0.01141, N = 31.991722.025802.107006.328846.377256.41390MIN: 1.86MIN: 1.87MIN: 1.86MIN: 5.76MIN: 5.79MIN: 5.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F723691215Min: 1.95 / Avg: 1.99 / Max: 2.02Min: 1.99 / Avg: 2.03 / Max: 2.05Min: 2.09 / Avg: 2.11 / Max: 2.12Min: 6.26 / Avg: 6.33 / Max: 6.38Min: 6.37 / Avg: 6.38 / Max: 6.39Min: 6.39 / Avg: 6.41 / Max: 6.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F720.51971.03941.55912.07882.5985SE +/- 0.00707, N = 3SE +/- 0.01842, N = 15SE +/- 0.01121, N = 15SE +/- 0.00103, N = 3SE +/- 0.00978, N = 3SE +/- 0.00115, N = 31.436711.468411.501202.296722.306332.30961MIN: 1.28MIN: 1.27MIN: 1.27MIN: 2.18MIN: 2.18MIN: 2.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F72246810Min: 1.42 / Avg: 1.44 / Max: 1.44Min: 1.39 / Avg: 1.47 / Max: 1.64Min: 1.46 / Avg: 1.5 / Max: 1.59Min: 2.29 / Avg: 2.3 / Max: 2.3Min: 2.29 / Avg: 2.31 / Max: 2.32Min: 2.31 / Avg: 2.31 / Max: 2.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F7230060090012001500SE +/- 20.53, N = 15SE +/- 20.62, N = 14SE +/- 11.72, N = 3SE +/- 2.75, N = 3SE +/- 3.90, N = 3SE +/- 10.75, N = 31166.561177.121290.071611.211611.741613.70MIN: 1069.01MIN: 1074.6MIN: 1195.72MIN: 1572.74MIN: 1572.94MIN: 1565.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F7230060090012001500Min: 1105.59 / Avg: 1166.56 / Max: 1377.85Min: 1106.82 / Avg: 1177.12 / Max: 1397.87Min: 1278.32 / Avg: 1290.07 / Max: 1313.51Min: 1606.72 / Avg: 1611.21 / Max: 1616.2Min: 1607.18 / Avg: 1611.74 / Max: 1619.5Min: 1593.97 / Avg: 1613.7 / Max: 1630.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F722004006008001000SE +/- 14.28, N = 15SE +/- 16.69, N = 15SE +/- 15.65, N = 15SE +/- 1.31, N = 3SE +/- 7.20, N = 3SE +/- 0.29, N = 3823.75848.25907.07925.98929.89930.71MIN: 700.39MIN: 699.46MIN: 758.94MIN: 896.94MIN: 896.55MIN: 898.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72160320480640800Min: 750.46 / Avg: 823.74 / Max: 945.54Min: 739.45 / Avg: 848.25 / Max: 942.11Min: 818.45 / Avg: 907.07 / Max: 1007.6Min: 923.47 / Avg: 925.98 / Max: 927.91Min: 922.24 / Avg: 929.89 / Max: 944.27Min: 930.22 / Avg: 930.71 / Max: 931.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F7230060090012001500SE +/- 29.40, N = 15SE +/- 28.74, N = 13SE +/- 20.83, N = 15SE +/- 6.62, N = 3SE +/- 6.46, N = 3SE +/- 7.42, N = 31182.171201.411334.581605.901610.951613.91MIN: 1076.03MIN: 1072.26MIN: 1172.82MIN: 1559.69MIN: 1556.69MIN: 1557.211. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F7230060090012001500Min: 1107.35 / Avg: 1182.17 / Max: 1523.07Min: 1106.55 / Avg: 1201.41 / Max: 1503.23Min: 1261.41 / Avg: 1334.58 / Max: 1542.19Min: 1593.37 / Avg: 1605.9 / Max: 1615.88Min: 1598.24 / Avg: 1610.95 / Max: 1619.3Min: 1603.73 / Avg: 1613.91 / Max: 1628.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F722004006008001000SE +/- 20.75, N = 12SE +/- 25.26, N = 12SE +/- 12.96, N = 15SE +/- 3.30, N = 3SE +/- 2.82, N = 3SE +/- 2.42, N = 3827.22838.99873.59928.12930.71934.69MIN: 702.57MIN: 702.98MIN: 754.76MIN: 898.12MIN: 900MIN: 900.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F72160320480640800Min: 748.34 / Avg: 827.22 / Max: 939.97Min: 745.39 / Avg: 838.99 / Max: 1011.47Min: 815.02 / Avg: 873.59 / Max: 983.03Min: 922.25 / Avg: 928.11 / Max: 933.67Min: 927.77 / Avg: 930.71 / Max: 936.35Min: 930.92 / Avg: 934.69 / Max: 939.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F720.13010.26020.39030.52040.6505SE +/- 0.005740, N = 3SE +/- 0.005785, N = 5SE +/- 0.004259, N = 15SE +/- 0.002676, N = 3SE +/- 0.001616, N = 3SE +/- 0.001786, N = 30.5182690.5291860.5674970.5752540.5766570.578226MIN: 0.43MIN: 0.43MIN: 0.43MIN: 0.52MIN: 0.52MIN: 0.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F72246810Min: 0.51 / Avg: 0.52 / Max: 0.53Min: 0.52 / Avg: 0.53 / Max: 0.55Min: 0.55 / Avg: 0.57 / Max: 0.6Min: 0.57 / Avg: 0.58 / Max: 0.58Min: 0.57 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F7230060090012001500SE +/- 0.72, N = 3SE +/- 43.23, N = 12SE +/- 42.19, N = 15SE +/- 2.00, N = 3SE +/- 2.70, N = 3SE +/- 3.74, N = 31109.291222.201407.981602.591606.751616.57MIN: 1072.44MIN: 1075.03MIN: 1169.39MIN: 1564.17MIN: 1564.52MIN: 1572.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F7230060090012001500Min: 1108.32 / Avg: 1109.29 / Max: 1110.71Min: 1107.23 / Avg: 1222.2 / Max: 1547.46Min: 1278.47 / Avg: 1407.98 / Max: 1825.89Min: 1598.68 / Avg: 1602.59 / Max: 1605.27Min: 1602.3 / Avg: 1606.75 / Max: 1611.63Min: 1611.71 / Avg: 1616.57 / Max: 1623.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F722004006008001000SE +/- 18.50, N = 15SE +/- 20.53, N = 15SE +/- 14.28, N = 15SE +/- 3.80, N = 3SE +/- 6.19, N = 3SE +/- 4.03, N = 3822.77839.85882.06924.02931.28932.49MIN: 694.28MIN: 694.65MIN: 758.65MIN: 894.61MIN: 898.52MIN: 897.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72160320480640800Min: 736.79 / Avg: 822.77 / Max: 975.62Min: 749.01 / Avg: 839.85 / Max: 1018.38Min: 823.24 / Avg: 882.06 / Max: 1002.05Min: 920.19 / Avg: 924.02 / Max: 931.62Min: 921.25 / Avg: 931.27 / Max: 942.59Min: 925.34 / Avg: 932.49 / Max: 939.271. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F720.31580.63160.94741.26321.579SE +/- 0.004844, N = 3SE +/- 0.001013, N = 3SE +/- 0.007240, N = 3SE +/- 0.005378, N = 3SE +/- 0.009113, N = 3SE +/- 0.005195, N = 30.8817520.8903330.9599041.3865101.4023501.403460MIN: 0.83MIN: 0.84MIN: 0.84MIN: 1.29MIN: 1.29MIN: 1.291. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72246810Min: 0.87 / Avg: 0.88 / Max: 0.89Min: 0.89 / Avg: 0.89 / Max: 0.89Min: 0.95 / Avg: 0.96 / Max: 0.97Min: 1.38 / Avg: 1.39 / Max: 1.4Min: 1.38 / Avg: 1.4 / Max: 1.41Min: 1.39 / Avg: 1.4 / Max: 1.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F7248121620SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.9415.9015.8310.7310.7310.701. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F7248121620Min: 15.84 / Avg: 15.94 / Max: 16.02Min: 15.84 / Avg: 15.9 / Max: 15.94Min: 15.81 / Avg: 15.83 / Max: 15.85Min: 10.72 / Avg: 10.73 / Max: 10.74Min: 10.72 / Avg: 10.73 / Max: 10.74Min: 10.69 / Avg: 10.7 / Max: 10.711. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F7248121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 316.1916.1316.0410.9510.9210.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F7248121620Min: 16.17 / Avg: 16.19 / Max: 16.21Min: 16.06 / Avg: 16.13 / Max: 16.19Min: 16.01 / Avg: 16.04 / Max: 16.08Min: 10.93 / Avg: 10.95 / Max: 10.96Min: 10.91 / Avg: 10.92 / Max: 10.93Min: 10.91 / Avg: 10.91 / Max: 10.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F721326395265SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 356.4656.4356.2936.2136.1536.091. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F721122334455Min: 56.41 / Avg: 56.46 / Max: 56.55Min: 56.37 / Avg: 56.43 / Max: 56.53Min: 56.17 / Avg: 56.29 / Max: 56.38Min: 36.07 / Avg: 36.21 / Max: 36.29Min: 36.11 / Avg: 36.15 / Max: 36.18Min: 35.99 / Avg: 36.09 / Max: 36.21. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F721326395265SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 357.5657.3757.3137.1437.0836.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F721122334455Min: 57.49 / Avg: 57.56 / Max: 57.68Min: 57.07 / Avg: 57.37 / Max: 57.68Min: 57.02 / Avg: 57.31 / Max: 57.65Min: 37.03 / Avg: 37.14 / Max: 37.29Min: 37.04 / Avg: 37.08 / Max: 37.11Min: 36.95 / Avg: 36.97 / Max: 371. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F72816243240SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 334.3834.3133.8424.0023.9823.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F72714212835Min: 34.21 / Avg: 34.38 / Max: 34.46Min: 34.11 / Avg: 34.31 / Max: 34.48Min: 33.64 / Avg: 33.84 / Max: 34.01Min: 23.97 / Avg: 24 / Max: 24.04Min: 23.93 / Avg: 23.98 / Max: 24.01Min: 23.88 / Avg: 23.93 / Max: 23.981. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F721224364860SE +/- 0.22, N = 3SE +/- 0.48, N = 3SE +/- 0.37, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 353.2653.2252.7642.1742.1341.991. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD EPYC 7F72AMD 7F72EPYC 7F721122334455Min: 52.83 / Avg: 53.26 / Max: 53.56Min: 52.53 / Avg: 53.22 / Max: 54.15Min: 52.02 / Avg: 52.76 / Max: 53.22Min: 41.86 / Avg: 42.17 / Max: 42.37Min: 41.98 / Avg: 42.13 / Max: 42.22Min: 41.85 / Avg: 41.99 / Max: 42.061. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F72306090120150SE +/- 0.61, N = 3SE +/- 0.83, N = 3SE +/- 0.48, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 3SE +/- 0.08, N = 3126.88126.79126.2483.2983.0682.461. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F7220406080100Min: 126.1 / Avg: 126.88 / Max: 128.07Min: 125.59 / Avg: 126.79 / Max: 128.38Min: 125.63 / Avg: 126.24 / Max: 127.19Min: 83.2 / Avg: 83.29 / Max: 83.47Min: 82.8 / Avg: 83.06 / Max: 83.5Min: 82.32 / Avg: 82.46 / Max: 82.61. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F724080120160200SE +/- 1.83, N = 6SE +/- 0.82, N = 3SE +/- 1.97, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 3SE +/- 0.44, N = 3181.72181.26180.39142.44142.03141.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72306090120150Min: 175 / Avg: 181.72 / Max: 186.21Min: 179.64 / Avg: 181.26 / Max: 182.27Min: 177.48 / Avg: 180.39 / Max: 184.15Min: 141.89 / Avg: 142.44 / Max: 142.76Min: 141.86 / Avg: 142.03 / Max: 142.27Min: 141.09 / Avg: 141.93 / Max: 142.581. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2PAMD EPYC 7F727F72 2P0.07850.1570.23550.3140.3925SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3490.3490.3480.3460.3460.343
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2PAMD EPYC 7F727F72 2P12345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.34 / Avg: 0.35 / Max: 0.35Min: 0.34 / Avg: 0.34 / Max: 0.35

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5AMD EPYC 7F72EPYC 7F72AMD EPYC 7F72 2PAMD 7F72EPYC 7F72 2P7F72 2P0.23330.46660.69990.93321.1665SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 31.0371.0371.0361.0361.0301.016
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5AMD EPYC 7F72EPYC 7F72AMD EPYC 7F72 2PAMD 7F72EPYC 7F72 2P7F72 2P246810Min: 1.03 / Avg: 1.04 / Max: 1.04Min: 1.03 / Avg: 1.04 / Max: 1.04Min: 1.03 / Avg: 1.04 / Max: 1.04Min: 1.04 / Avg: 1.04 / Max: 1.04Min: 1.03 / Avg: 1.03 / Max: 1.03Min: 1.01 / Avg: 1.02 / Max: 1.02

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6AMD 7F72AMD EPYC 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P0.31190.62380.93571.24761.5595SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 31.3861.3851.3851.3781.3691.358
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6AMD 7F72AMD EPYC 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P246810Min: 1.38 / Avg: 1.39 / Max: 1.39Min: 1.38 / Avg: 1.39 / Max: 1.39Min: 1.38 / Avg: 1.38 / Max: 1.39Min: 1.38 / Avg: 1.38 / Max: 1.38Min: 1.36 / Avg: 1.37 / Max: 1.38Min: 1.35 / Avg: 1.36 / Max: 1.37

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P0.68381.36762.05142.73523.419SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.002, N = 3SE +/- 0.010, N = 3SE +/- 0.035, N = 3SE +/- 0.021, N = 33.0393.0323.0262.9722.9672.927
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P246810Min: 3.03 / Avg: 3.04 / Max: 3.04Min: 3.02 / Avg: 3.03 / Max: 3.05Min: 3.02 / Avg: 3.03 / Max: 3.03Min: 2.95 / Avg: 2.97 / Max: 2.99Min: 2.9 / Avg: 2.97 / Max: 3.01Min: 2.89 / Avg: 2.93 / Max: 2.96

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video Encoding7F72 2PAMD EPYC 7F72 2PEPYC 7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F724080120160200SE +/- 1.79, N = 6SE +/- 1.79, N = 12SE +/- 2.07, N = 5SE +/- 1.85, N = 3SE +/- 1.47, N = 3SE +/- 1.51, N = 3194.97194.19193.40178.79177.86177.711. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video Encoding7F72 2PAMD EPYC 7F72 2PEPYC 7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F724080120160200Min: 189.97 / Avg: 194.97 / Max: 201.14Min: 176.94 / Avg: 194.19 / Max: 199.63Min: 190.44 / Avg: 193.4 / Max: 201.22Min: 175.25 / Avg: 178.79 / Max: 181.51Min: 174.93 / Avg: 177.86 / Max: 179.5Min: 174.73 / Avg: 177.71 / Max: 179.571. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P612182430SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 323.6023.5923.5320.4320.2019.991. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P612182430Min: 23.56 / Avg: 23.6 / Max: 23.65Min: 23.49 / Avg: 23.59 / Max: 23.67Min: 23.49 / Avg: 23.53 / Max: 23.59Min: 20.38 / Avg: 20.43 / Max: 20.5Min: 20.09 / Avg: 20.2 / Max: 20.32Min: 19.9 / Avg: 19.99 / Max: 20.031. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P1428425670SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.41, N = 11SE +/- 0.21, N = 3SE +/- 0.45, N = 360.6160.3360.2554.7054.6353.831. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P1224364860Min: 60.35 / Avg: 60.61 / Max: 60.98Min: 60.24 / Avg: 60.33 / Max: 60.38Min: 60.09 / Avg: 60.25 / Max: 60.38Min: 53.26 / Avg: 54.7 / Max: 57.23Min: 54.34 / Avg: 54.63 / Max: 55.04Min: 53.12 / Avg: 53.83 / Max: 54.651. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F7220M40M60M80M100MSE +/- 946054.05, N = 3SE +/- 724949.76, N = 3SE +/- 639295.30, N = 3SE +/- 678703.71, N = 3SE +/- 356097.54, N = 15SE +/- 458927.44, N = 159823248897582753973765955342151752704023525975441. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F7220M40M60M80M100MMin: 96354022 / Avg: 98232487.67 / Max: 99368138Min: 96208771 / Avg: 97582753 / Max: 98670726Min: 96170510 / Avg: 97376595 / Max: 98347217Min: 52076342 / Avg: 53421517.33 / Max: 54251565Min: 50673179 / Avg: 52704022.87 / Max: 55172057Min: 49156210 / Avg: 52597544.33 / Max: 558700721. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7F72 2P7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7220M40M60M80M100MSE +/- 422109.99, N = 3SE +/- 1665400.53, N = 3SE +/- 412071.14, N = 3SE +/- 380311.53, N = 3SE +/- 282969.84, N = 3SE +/- 644607.06, N = 3116524954116189232115398550644487416434983763564766
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7F72 2P7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7220M40M60M80M100MMin: 115811770 / Avg: 116524954.33 / Max: 117272771Min: 113645952 / Avg: 116189232.33 / Max: 119323524Min: 114581667 / Avg: 115398550 / Max: 115901514Min: 63726239 / Avg: 64448740.67 / Max: 65015914Min: 64057538 / Avg: 64349837 / Max: 64915673Min: 62325986 / Avg: 63564766.33 / Max: 64493385

Timed Clash Compilation

Build the clash-lang Haskell to VHDL/Verilog/SystemVerilog compiler with GHC 8.10.1 Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileAMD EPYC 7F72EPYC 7F72AMD 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P100200300400500SE +/- 0.52, N = 3SE +/- 0.12, N = 3SE +/- 1.06, N = 3SE +/- 4.35, N = 3SE +/- 1.18, N = 3SE +/- 1.97, N = 3461.62462.28462.32482.28483.40483.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileAMD EPYC 7F72EPYC 7F72AMD 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P90180270360450Min: 460.95 / Avg: 461.62 / Max: 462.64Min: 462.16 / Avg: 462.28 / Max: 462.51Min: 460.54 / Avg: 462.32 / Max: 464.19Min: 475.8 / Avg: 482.28 / Max: 490.54Min: 481.45 / Avg: 483.4 / Max: 485.53Min: 481.17 / Avg: 483.96 / Max: 487.77

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72918273645SE +/- 0.16, N = 13SE +/- 0.16, N = 13SE +/- 0.16, N = 13SE +/- 0.47, N = 3SE +/- 0.37, N = 6SE +/- 0.41, N = 525.7025.8025.9538.8638.9039.05
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72816243240Min: 25.45 / Avg: 25.7 / Max: 27.65Min: 25.54 / Avg: 25.8 / Max: 27.67Min: 25.64 / Avg: 25.95 / Max: 27.85Min: 38.08 / Avg: 38.86 / Max: 39.71Min: 37.86 / Avg: 38.9 / Max: 40.63Min: 38.46 / Avg: 39.05 / Max: 40.66

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F7260120180240300SE +/- 1.26, N = 3SE +/- 2.37, N = 3SE +/- 0.63, N = 3SE +/- 2.80, N = 3SE +/- 4.06, N = 3SE +/- 1.69, N = 3209.25211.79212.02289.65294.11298.15
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F7250100150200250Min: 206.87 / Avg: 209.25 / Max: 211.17Min: 207.1 / Avg: 211.79 / Max: 214.71Min: 210.82 / Avg: 212.02 / Max: 212.96Min: 285.32 / Avg: 289.65 / Max: 294.89Min: 287.13 / Avg: 294.11 / Max: 301.19Min: 295.53 / Avg: 298.14 / Max: 301.31

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7F72EPYC 7F72 2PAMD 7F727F72 2PAMD EPYC 7F72AMD EPYC 7F72 2P70140210280350SE +/- 0.44, N = 3SE +/- 0.52, N = 3SE +/- 2.42, N = 3SE +/- 1.06, N = 3SE +/- 0.87, N = 3SE +/- 2.70, N = 3324.13322.49321.81320.65318.47318.08
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7F72EPYC 7F72 2PAMD 7F727F72 2PAMD EPYC 7F72AMD EPYC 7F72 2P60120180240300Min: 323.39 / Avg: 324.13 / Max: 324.92Min: 321.82 / Avg: 322.49 / Max: 323.52Min: 317.26 / Avg: 321.81 / Max: 325.51Min: 319.27 / Avg: 320.65 / Max: 322.73Min: 317.57 / Avg: 318.47 / Max: 320.21Min: 314.71 / Avg: 318.08 / Max: 323.41

eSpeak-NG Speech Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P816243240SE +/- 0.09, N = 4SE +/- 0.11, N = 4SE +/- 0.11, N = 4SE +/- 0.08, N = 4SE +/- 0.15, N = 4SE +/- 0.06, N = 432.7132.7632.8032.8032.8332.841. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P714212835Min: 32.45 / Avg: 32.71 / Max: 32.86Min: 32.49 / Avg: 32.76 / Max: 32.97Min: 32.5 / Avg: 32.79 / Max: 33.05Min: 32.56 / Avg: 32.8 / Max: 32.92Min: 32.52 / Avg: 32.83 / Max: 33.13Min: 32.69 / Avg: 32.84 / Max: 32.931. (CC) gcc options: -O2 -std=c99

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28EPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F727F72 2PAMD EPYC 7F72510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 321.0821.1221.1321.1421.1421.171. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28EPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F727F72 2PAMD EPYC 7F72510152025Min: 21.05 / Avg: 21.08 / Max: 21.1Min: 21.11 / Avg: 21.12 / Max: 21.14Min: 21.12 / Avg: 21.13 / Max: 21.14Min: 21.13 / Avg: 21.14 / Max: 21.15Min: 21.08 / Avg: 21.14 / Max: 21.19Min: 21.15 / Avg: 21.17 / Max: 21.21. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16AMD 7F72AMD EPYC 7F72EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P90K180K270K360K450KSE +/- 4696.92, N = 3SE +/- 2330.52, N = 3SE +/- 1068.73, N = 3SE +/- 3846.80, N = 3SE +/- 3213.58, N = 5SE +/- 2893.10, N = 15426284.57424640.30424090.96308314.45301799.88296614.541. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16AMD 7F72AMD EPYC 7F72EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P70K140K210K280K350KMin: 417825.88 / Avg: 426284.57 / Max: 434052.42Min: 421052.5 / Avg: 424640.3 / Max: 429010.97Min: 422532.63 / Avg: 424090.96 / Max: 426137.12Min: 300885.05 / Avg: 308314.45 / Max: 313760.22Min: 289079.47 / Avg: 301799.88 / Max: 306380.64Min: 275740.68 / Avg: 296614.54 / Max: 315706.871. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F721.18962.37923.56884.75845.948SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.009, N = 35.2875.2785.2512.8472.8462.8301. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72246810Min: 5.28 / Avg: 5.29 / Max: 5.29Min: 5.27 / Avg: 5.28 / Max: 5.29Min: 5.24 / Avg: 5.25 / Max: 5.27Min: 2.84 / Avg: 2.85 / Max: 2.85Min: 2.84 / Avg: 2.85 / Max: 2.85Min: 2.82 / Avg: 2.83 / Max: 2.851. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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: SqueezeNetEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7220K40K60K80K100KSE +/- 386.78, N = 3SE +/- 717.51, N = 4SE +/- 1496.92, N = 15SE +/- 45.73, N = 3SE +/- 44.82, N = 3SE +/- 87.10, N = 363239.263691.376438.689393.689588.189812.7
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7216K32K48K64K80KMin: 62654.9 / Avg: 63239.23 / Max: 63970.4Min: 62487.4 / Avg: 63691.25 / Max: 65664.9Min: 69182.9 / Avg: 76438.62 / Max: 86863.9Min: 89313.9 / Avg: 89393.57 / Max: 89472.3Min: 89511.6 / Avg: 89588.07 / Max: 89666.8Min: 89694.8 / Avg: 89812.7 / Max: 89982.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72300K600K900K1200K1500KSE +/- 2614.29, N = 3SE +/- 3825.03, N = 3SE +/- 8354.40, N = 15SE +/- 3318.77, N = 3SE +/- 3249.51, N = 3SE +/- 2838.53, N = 3871018872809963296134287713448931347400
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72200K400K600K800K1000KMin: 865790 / Avg: 871018 / Max: 873700Min: 865847 / Avg: 872809 / Max: 879036Min: 909376 / Avg: 963296.33 / Max: 1011090Min: 1338640 / Avg: 1342876.67 / Max: 1349420Min: 1339450 / Avg: 1344893.33 / Max: 1350690Min: 1344320 / Avg: 1347400 / Max: 1353070

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P30K60K90K120K150KSE +/- 239.98, N = 3SE +/- 60.45, N = 3SE +/- 165.43, N = 3SE +/- 1433.11, N = 15SE +/- 1327.95, N = 15SE +/- 6473.79, N = 15103641104362104517115976117648148263
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P30K60K90K120K150KMin: 103196 / Avg: 103641.33 / Max: 104019Min: 104243 / Avg: 104361.67 / Max: 104441Min: 104228 / Avg: 104517 / Max: 104801Min: 107477 / Avg: 115975.6 / Max: 126859Min: 110090 / Avg: 117648.47 / Max: 125902Min: 125344 / Avg: 148262.93 / Max: 215131

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7213K26K39K52K65KSE +/- 154.16, N = 3SE +/- 383.17, N = 3SE +/- 394.42, N = 3SE +/- 39.74, N = 3SE +/- 43.27, N = 3SE +/- 126.43, N = 340228.640591.045501.859959.660165.360331.6
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7210K20K30K40K50KMin: 39920.3 / Avg: 40228.57 / Max: 40387.6Min: 39831.9 / Avg: 40590.97 / Max: 41061.7Min: 45027.5 / Avg: 45501.77 / Max: 46284.8Min: 59883.2 / Avg: 59959.57 / Max: 60016.8Min: 60108.8 / Avg: 60165.27 / Max: 60250.3Min: 60082.9 / Avg: 60331.63 / Max: 60495.4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7213K26K39K52K65KSE +/- 394.63, N = 3SE +/- 228.51, N = 3SE +/- 959.33, N = 15SE +/- 111.88, N = 3SE +/- 90.15, N = 3SE +/- 119.05, N = 341754.241926.249006.261260.761482.061596.2
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7211K22K33K44K55KMin: 41214.2 / Avg: 41754.2 / Max: 42522.7Min: 41620.2 / Avg: 41926.23 / Max: 42373.2Min: 44392.6 / Avg: 49006.18 / Max: 55019.8Min: 61071.2 / Avg: 61260.67 / Max: 61458.5Min: 61320.3 / Avg: 61482.03 / Max: 61631.9Min: 61383.4 / Avg: 61596.2 / Max: 61795.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72300K600K900K1200K1500KSE +/- 2200.08, N = 3SE +/- 2776.56, N = 3SE +/- 7122.24, N = 3SE +/- 2727.68, N = 3SE +/- 3330.08, N = 3SE +/- 2105.81, N = 3754906758566823112117566311785901179913
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72200K400K600K800K1000KMin: 750960 / Avg: 754906.33 / Max: 758565Min: 753164 / Avg: 758565.67 / Max: 762382Min: 815417 / Avg: 823112.33 / Max: 837341Min: 1170500 / Avg: 1175663.33 / Max: 1179770Min: 1171930 / Avg: 1178590 / Max: 1181960Min: 1175780 / Avg: 1179913.33 / Max: 1182680

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyAMD EPYC 7F727F72 2PEPYC 7F72AMD 7F72EPYC 7F72 2PAMD EPYC 7F72 2P6K12K18K24K30KSE +/- 335.87, N = 4SE +/- 222.86, N = 10SE +/- 161.30, N = 3SE +/- 325.35, N = 3SE +/- 230.23, N = 3SE +/- 320.79, N = 42946229452294192939129257286811. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyAMD EPYC 7F727F72 2PEPYC 7F72AMD 7F72EPYC 7F72 2PAMD EPYC 7F72 2P5K10K15K20K25KMin: 28740.66 / Avg: 29461.77 / Max: 30350.34Min: 28428.85 / Avg: 29452.4 / Max: 30717.44Min: 29111.99 / Avg: 29419.1 / Max: 29658.21Min: 29003.71 / Avg: 29391.47 / Max: 30037.89Min: 28797.22 / Avg: 29256.84 / Max: 29510.81Min: 27776.5 / Avg: 28680.92 / Max: 29249.251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P0.00790.01580.02370.03160.0395SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 4SE +/- 0.000, N = 3SE +/- 0.000, N = 10SE +/- 0.000, N = 40.0340.0340.0340.0340.0340.0351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P12345Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.04Min: 0.03 / Avg: 0.03 / Max: 0.04Min: 0.03 / Avg: 0.03 / Max: 0.04Min: 0.03 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteAMD 7F72EPYC 7F72AMD EPYC 7F72 2PAMD EPYC 7F727F72 2PEPYC 7F72 2P400800120016002000SE +/- 15.86, N = 3SE +/- 0.78, N = 3SE +/- 5.35, N = 3SE +/- 7.88, N = 3SE +/- 6.30, N = 3SE +/- 6.32, N = 32027201920162009200720011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteAMD 7F72EPYC 7F72AMD EPYC 7F72 2PAMD EPYC 7F727F72 2PEPYC 7F72 2P400800120016002000Min: 1995.18 / Avg: 2026.9 / Max: 2043.52Min: 2017.31 / Avg: 2018.73 / Max: 2020Min: 2009.22 / Avg: 2015.88 / Max: 2026.46Min: 1995.66 / Avg: 2008.96 / Max: 2022.92Min: 1995.05 / Avg: 2006.88 / Max: 2016.58Min: 1990.86 / Avg: 2001.42 / Max: 2012.721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyAMD 7F72EPYC 7F72AMD EPYC 7F72 2PAMD EPYC 7F727F72 2PEPYC 7F72 2P0.11250.2250.33750.450.5625SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4930.4950.4960.4980.4980.5001. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyAMD 7F72EPYC 7F72AMD EPYC 7F72 2PAMD EPYC 7F727F72 2PEPYC 7F72 2P246810Min: 0.49 / Avg: 0.49 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.49 / Avg: 0.5 / Max: 0.5Min: 0.49 / Avg: 0.5 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.51. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyAMD 7F72EPYC 7F72AMD EPYC 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P200K400K600K800K1000KSE +/- 4242.40, N = 3SE +/- 11183.06, N = 3SE +/- 9353.87, N = 3SE +/- 7882.33, N = 6SE +/- 1336.65, N = 3SE +/- 7738.13, N = 38526128472318420228254488167567975661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyAMD 7F72EPYC 7F72AMD EPYC 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2P150K300K450K600K750KMin: 847759.59 / Avg: 852612.47 / Max: 861066.44Min: 824865.85 / Avg: 847230.58 / Max: 858628.67Min: 828236.85 / Avg: 842022.29 / Max: 859867.44Min: 790551.98 / Avg: 825448.08 / Max: 847616.98Min: 814449.13 / Avg: 816755.92 / Max: 819079.33Min: 782896.62 / Avg: 797566.11 / Max: 809171.761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P0.01420.02840.04260.05680.071SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 6SE +/- 0.001, N = 30.0590.0590.0590.0610.0610.0631. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P12345Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.06 / Avg: 0.06 / Max: 0.061. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72300K600K900K1200K1500KSE +/- 18458.00, N = 3SE +/- 10614.63, N = 12SE +/- 12723.13, N = 3SE +/- 755.05, N = 3SE +/- 1961.28, N = 3SE +/- 1176.24, N = 31413247140727113884656987786984526953441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72200K400K600K800K1000KMin: 1378346.46 / Avg: 1413247.34 / Max: 1441116.04Min: 1305785.23 / Avg: 1407271.39 / Max: 1448157.42Min: 1371521.53 / Avg: 1388464.95 / Max: 1413378.21Min: 697404.24 / Avg: 698778.46 / Max: 700007.75Min: 695385.66 / Avg: 698452.18 / Max: 702103.74Min: 692993.28 / Avg: 695344.46 / Max: 696587.511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F720.03240.06480.09720.12960.162SE +/- 0.001, N = 3SE +/- 0.001, N = 12SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0710.0710.0720.1430.1430.1441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F7212345Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.07 / Avg: 0.07 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.14 / Avg: 0.14 / Max: 0.141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P5001000150020002500SE +/- 1.25, N = 3SE +/- 5.02, N = 3SE +/- 2.57, N = 3SE +/- 10.95, N = 3SE +/- 6.74, N = 3SE +/- 7.88, N = 32431242424212282227622391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P400800120016002000Min: 2429 / Avg: 2431.4 / Max: 2433.2Min: 2415.02 / Avg: 2424.41 / Max: 2432.16Min: 2415.51 / Avg: 2420.57 / Max: 2423.94Min: 2261.13 / Avg: 2282.38 / Max: 2297.63Min: 2262.21 / Avg: 2275.65 / Max: 2283.39Min: 2223.83 / Avg: 2238.87 / Max: 2250.451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P510152025SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 320.5720.6320.6621.9221.9822.341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P510152025Min: 20.56 / Avg: 20.57 / Max: 20.59Min: 20.56 / Avg: 20.63 / Max: 20.71Min: 20.63 / Avg: 20.66 / Max: 20.71Min: 21.77 / Avg: 21.92 / Max: 22.12Min: 21.91 / Avg: 21.98 / Max: 22.11Min: 22.23 / Avg: 22.34 / Max: 22.491. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyAMD EPYC 7F72AMD 7F72EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P5K10K15K20K25KSE +/- 325.52, N = 3SE +/- 144.26, N = 3SE +/- 171.06, N = 3SE +/- 275.23, N = 15SE +/- 206.81, N = 15SE +/- 277.60, N = 32444624345243362339623295231711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyAMD EPYC 7F72AMD 7F72EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P4K8K12K16K20KMin: 23836.86 / Avg: 24446.39 / Max: 24949.24Min: 24131.41 / Avg: 24345.41 / Max: 24620.01Min: 24083.48 / Avg: 24336.14 / Max: 24662.24Min: 21138.29 / Avg: 23395.78 / Max: 24557.77Min: 21184.95 / Avg: 23295.43 / Max: 24018.47Min: 22616.33 / Avg: 23170.72 / Max: 23473.971. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P0.00970.01940.02910.03880.0485SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 15SE +/- 0.001, N = 150.0410.0410.0410.0430.0430.0431. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P12345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P5001000150020002500SE +/- 4.79, N = 3SE +/- 6.61, N = 3SE +/- 3.93, N = 3SE +/- 4.42, N = 3SE +/- 2.08, N = 3SE +/- 2.35, N = 32145214421422020200720021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P400800120016002000Min: 2139.05 / Avg: 2144.57 / Max: 2154.12Min: 2137.32 / Avg: 2144.44 / Max: 2157.66Min: 2135.33 / Avg: 2141.66 / Max: 2148.86Min: 2014.09 / Avg: 2020.25 / Max: 2028.83Min: 2004.69 / Avg: 2007.4 / Max: 2011.49Min: 1999.62 / Avg: 2002.24 / Max: 2006.931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P1122334455SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 346.6846.6946.7449.5749.8850.011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P1020304050Min: 46.47 / Avg: 46.68 / Max: 46.81Min: 46.42 / Avg: 46.69 / Max: 46.85Min: 46.59 / Avg: 46.74 / Max: 46.87Min: 49.35 / Avg: 49.57 / Max: 49.72Min: 49.77 / Avg: 49.88 / Max: 49.95Min: 49.89 / Avg: 50.01 / Max: 50.071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteAMD EPYC 7F72EPYC 7F72AMD 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P400800120016002000SE +/- 5.85, N = 3SE +/- 1.53, N = 3SE +/- 10.89, N = 3SE +/- 7.22, N = 3SE +/- 2.88, N = 3SE +/- 2.71, N = 31807180518011794178417661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteAMD EPYC 7F72EPYC 7F72AMD 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P30060090012001500Min: 1800.51 / Avg: 1806.58 / Max: 1818.27Min: 1803.34 / Avg: 1805.1 / Max: 1808.14Min: 1784.12 / Avg: 1800.71 / Max: 1821.23Min: 1780.42 / Avg: 1794.04 / Max: 1805.02Min: 1778.98 / Avg: 1783.96 / Max: 1788.97Min: 1760.96 / Avg: 1766.16 / Max: 1770.081. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyAMD EPYC 7F72EPYC 7F72AMD 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P0.12740.25480.38220.50960.637SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5530.5540.5560.5580.5610.5661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyAMD EPYC 7F72EPYC 7F72AMD 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P246810Min: 0.55 / Avg: 0.55 / Max: 0.56Min: 0.55 / Avg: 0.55 / Max: 0.56Min: 0.55 / Avg: 0.56 / Max: 0.56Min: 0.55 / Avg: 0.56 / Max: 0.56Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.57 / Avg: 0.57 / Max: 0.571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72140K280K420K560K700KSE +/- 6741.00, N = 3SE +/- 7480.51, N = 3SE +/- 6778.87, N = 4SE +/- 2634.03, N = 3SE +/- 5773.06, N = 3SE +/- 1352.44, N = 36336366255126192195553205516235514841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72110K220K330K440K550KMin: 624849.1 / Avg: 633635.83 / Max: 646884.61Min: 615004.12 / Avg: 625512.39 / Max: 639989.12Min: 603711.78 / Avg: 619218.79 / Max: 636187.59Min: 550086.48 / Avg: 555320.19 / Max: 558457.14Min: 540076.77 / Avg: 551622.87 / Max: 557410.44Min: 549204.72 / Avg: 551483.89 / Max: 553884.941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F720.02050.0410.06150.0820.1025SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 4SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0790.0800.0810.0900.0910.0911. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F7212345Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.09 / Avg: 0.09 / Max: 0.091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72160K320K480K640K800KSE +/- 4479.87, N = 3SE +/- 7684.00, N = 5SE +/- 2733.07, N = 3SE +/- 493.86, N = 3SE +/- 602.59, N = 3SE +/- 613.62, N = 37290937150457082345305815293185290661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72130K260K390K520K650KMin: 720190.76 / Avg: 729093.25 / Max: 734420.24Min: 685963.31 / Avg: 715044.7 / Max: 729965.09Min: 703525.24 / Avg: 708234.45 / Max: 712992.51Min: 529788.36 / Avg: 530581.01 / Max: 531487.71Min: 528306.36 / Avg: 529317.62 / Max: 530391Min: 527842.41 / Avg: 529066.11 / Max: 529758.711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F720.04250.0850.12750.170.2125SE +/- 0.001, N = 3SE +/- 0.002, N = 5SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1370.1400.1410.1890.1890.1891. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency7F72 2PEPYC 7F72 2PAMD EPYC 7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F7212345Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.14 / Avg: 0.14 / Max: 0.15Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F725K10K15K20K25KSE +/- 40.02, N = 3SE +/- 62.07, N = 3SE +/- 68.23, N = 3SE +/- 9.19, N = 3SE +/- 31.97, N = 3SE +/- 24.14, N = 32337323360231212152121481214791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F724K8K12K16K20KMin: 23309.36 / Avg: 23372.55 / Max: 23446.7Min: 23255.46 / Avg: 23359.85 / Max: 23470.23Min: 23023.94 / Avg: 23120.87 / Max: 23252.51Min: 21503.14 / Avg: 21521.45 / Max: 21532.05Min: 21418.59 / Avg: 21481.09 / Max: 21523.99Min: 21430.62 / Avg: 21478.69 / Max: 21506.641. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F720.5241.0481.5722.0962.62SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 32.1402.1412.1642.3242.3282.3291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyAMD EPYC 7F72 2P7F72 2PEPYC 7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F72246810Min: 2.13 / Avg: 2.14 / Max: 2.15Min: 2.13 / Avg: 2.14 / Max: 2.15Min: 2.15 / Avg: 2.16 / Max: 2.17Min: 2.32 / Avg: 2.32 / Max: 2.33Min: 2.32 / Avg: 2.33 / Max: 2.34Min: 2.33 / Avg: 2.33 / Max: 2.331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P6K12K18K24K30KSE +/- 34.89, N = 3SE +/- 108.48, N = 3SE +/- 54.62, N = 3SE +/- 222.16, N = 3SE +/- 74.83, N = 3SE +/- 83.97, N = 32955229537294862773027720275201. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P5K10K15K20K25KMin: 29511.54 / Avg: 29552.27 / Max: 29621.7Min: 29338.64 / Avg: 29536.83 / Max: 29712.38Min: 29406.99 / Avg: 29486.49 / Max: 29591.13Min: 27287.19 / Avg: 27730.38 / Max: 27979.38Min: 27585.15 / Avg: 27720.01 / Max: 27843.66Min: 27351.89 / Avg: 27519.52 / Max: 27612.291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P0.81881.63762.45643.27524.094SE +/- 0.003, N = 3SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.029, N = 3SE +/- 0.010, N = 3SE +/- 0.011, N = 33.3883.3893.3953.6123.6143.6391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyAMD EPYC 7F72AMD 7F72EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P246810Min: 3.38 / Avg: 3.39 / Max: 3.39Min: 3.37 / Avg: 3.39 / Max: 3.41Min: 3.38 / Avg: 3.4 / Max: 3.4Min: 3.58 / Avg: 3.61 / Max: 3.67Min: 3.6 / Avg: 3.61 / Max: 3.63Min: 3.63 / Avg: 3.64 / Max: 3.661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P1224364860SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.33, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 349.3649.5149.5851.8551.9052.051. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P1020304050Min: 49.34 / Avg: 49.36 / Max: 49.38Min: 49.47 / Avg: 49.51 / Max: 49.54Min: 49.51 / Avg: 49.58 / Max: 49.7Min: 51.45 / Avg: 51.85 / Max: 52.51Min: 51.67 / Avg: 51.9 / Max: 52.13Min: 51.64 / Avg: 52.05 / Max: 52.271. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7F72AMD EPYC 7F72AMD 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P246810SE +/- 0.004, N = 3SE +/- 0.021, N = 3SE +/- 0.015, N = 3SE +/- 0.033, N = 3SE +/- 0.018, N = 3SE +/- 0.043, N = 37.5787.6067.7337.7467.7897.8081. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7F72AMD EPYC 7F72AMD 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P3691215Min: 7.57 / Avg: 7.58 / Max: 7.59Min: 7.57 / Avg: 7.61 / Max: 7.64Min: 7.71 / Avg: 7.73 / Max: 7.76Min: 7.69 / Avg: 7.75 / Max: 7.8Min: 7.75 / Avg: 7.79 / Max: 7.82Min: 7.74 / Avg: 7.81 / Max: 7.881. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F7248121620SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.3912.4112.4216.9016.9316.981. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F7248121620Min: 12.3 / Avg: 12.39 / Max: 12.46Min: 12.38 / Avg: 12.41 / Max: 12.45Min: 12.37 / Avg: 12.42 / Max: 12.47Min: 16.88 / Avg: 16.9 / Max: 16.93Min: 16.9 / Avg: 16.93 / Max: 16.94Min: 16.95 / Avg: 16.98 / Max: 171. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72612182430SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 317.6017.6617.7027.1827.2127.291. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD EPYC 7F72AMD 7F72612182430Min: 17.5 / Avg: 17.6 / Max: 17.71Min: 17.56 / Avg: 17.66 / Max: 17.72Min: 17.59 / Avg: 17.7 / Max: 17.76Min: 27.16 / Avg: 27.18 / Max: 27.2Min: 27.17 / Avg: 27.21 / Max: 27.25Min: 27.26 / Avg: 27.29 / Max: 27.321. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72150300450600750SE +/- 0.66, N = 3SE +/- 1.53, N = 3SE +/- 1.44, N = 3SE +/- 0.27, N = 3SE +/- 2.14, N = 3SE +/- 1.41, N = 3687.08689.47689.80693.90694.87695.001. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72EPYC 7F72AMD EPYC 7F72120240360480600Min: 686.2 / Avg: 687.08 / Max: 688.37Min: 686.41 / Avg: 689.47 / Max: 691.14Min: 687.28 / Avg: 689.8 / Max: 692.28Min: 693.4 / Avg: 693.9 / Max: 694.35Min: 692.38 / Avg: 694.87 / Max: 699.13Min: 692.18 / Avg: 695 / Max: 696.411. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Hugin

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P1326395265SE +/- 0.51, N = 3SE +/- 0.39, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 3SE +/- 0.45, N = 3SE +/- 0.73, N = 350.0150.3350.4656.4356.7958.66
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P1224364860Min: 49.23 / Avg: 50.01 / Max: 50.96Min: 49.85 / Avg: 50.32 / Max: 51.09Min: 50.1 / Avg: 50.46 / Max: 50.92Min: 56.13 / Avg: 56.43 / Max: 56.85Min: 55.89 / Avg: 56.79 / Max: 57.28Min: 57.78 / Avg: 58.66 / Max: 60.1

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPEPYC 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2PAMD EPYC 7F72AMD 7F72500K1000K1500K2000K2500KSE +/- 44675.79, N = 15SE +/- 95529.13, N = 15SE +/- 28427.12, N = 15SE +/- 38584.49, N = 15SE +/- 61951.41, N = 13SE +/- 22561.14, N = 152134890.151508834.921388985.481380069.401379285.461376509.231. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPEPYC 7F727F72 2PAMD EPYC 7F72 2PEPYC 7F72 2PAMD EPYC 7F72AMD 7F72400K800K1200K1600K2000KMin: 1938232.62 / Avg: 2134890.15 / Max: 2475247.5Min: 1082355 / Avg: 1508834.92 / Max: 2213239Min: 1193622.88 / Avg: 1388985.48 / Max: 1517450.75Min: 1076529.62 / Avg: 1380069.4 / Max: 1526717.62Min: 1213864.12 / Avg: 1379285.46 / Max: 2053716.62Min: 1261034.12 / Avg: 1376509.23 / Max: 1525024.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F72400K800K1200K1600K2000KSE +/- 40431.61, N = 15SE +/- 39991.80, N = 15SE +/- 46378.46, N = 15SE +/- 39190.67, N = 15SE +/- 39087.64, N = 15SE +/- 37861.09, N = 121818648.351814208.701784823.371757206.721723521.291658090.041. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDAMD EPYC 7F72 2PEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F72300K600K900K1200K1500KMin: 1597444.12 / Avg: 1818648.35 / Max: 2004072.12Min: 1565345.88 / Avg: 1814208.7 / Max: 2016258.12Min: 1552894.38 / Avg: 1784823.37 / Max: 1992478.25Min: 1508295.62 / Avg: 1757206.72 / Max: 2012201.12Min: 1538609.25 / Avg: 1723521.29 / Max: 1961286.25Min: 1490456 / Avg: 1658090.04 / Max: 18728991. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F72300K600K900K1200K1500KSE +/- 28243.04, N = 12SE +/- 26859.21, N = 15SE +/- 25705.74, N = 15SE +/- 24808.96, N = 12SE +/- 23963.24, N = 15SE +/- 23366.84, N = 151368468.711365777.401345722.501332610.561317592.971295998.651. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72EPYC 7F72200K400K600K800K1000KMin: 1196401.88 / Avg: 1368468.71 / Max: 1497772.5Min: 1145475.38 / Avg: 1365777.4 / Max: 1490837.5Min: 1166861.12 / Avg: 1345722.5 / Max: 1492632.75Min: 1191933.25 / Avg: 1332610.56 / Max: 1449460.88Min: 1228697.75 / Avg: 1317592.97 / Max: 1491028.25Min: 1176470.5 / Avg: 1295998.65 / Max: 1475020.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7F72EPYC 7F72 2PAMD EPYC 7F72AMD EPYC 7F72 2P7F72 2PAMD 7F72400K800K1200K1600K2000KSE +/- 51555.46, N = 15SE +/- 39950.00, N = 15SE +/- 51919.80, N = 15SE +/- 53123.87, N = 12SE +/- 37005.83, N = 15SE +/- 29329.60, N = 152038392.691996216.741897703.881888968.341852789.071814383.801. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7F72EPYC 7F72 2PAMD EPYC 7F72AMD EPYC 7F72 2P7F72 2PAMD 7F72400K800K1200K1600K2000KMin: 1789023.25 / Avg: 2038392.69 / Max: 2359849Min: 1706757.62 / Avg: 1996216.74 / Max: 2217649.75Min: 1637080.25 / Avg: 1897703.88 / Max: 2252252.25Min: 1675309.88 / Avg: 1888968.34 / Max: 2233000Min: 1698118.88 / Avg: 1852789.07 / Max: 2237566Min: 1650270.62 / Avg: 1814383.8 / Max: 2020460.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72 2PEPYC 7F72AMD EPYC 7F72300K600K900K1200K1500KSE +/- 38603.79, N = 15SE +/- 22454.24, N = 15SE +/- 35684.24, N = 15SE +/- 40018.52, N = 15SE +/- 37419.69, N = 12SE +/- 27970.44, N = 151580536.811519952.931500640.311498592.431495615.591475849.681. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7F72 2P7F72 2PAMD 7F72AMD EPYC 7F72 2PEPYC 7F72AMD EPYC 7F72300K600K900K1200K1500KMin: 1348054 / Avg: 1580536.81 / Max: 1733102.12Min: 1364736.75 / Avg: 1519952.93 / Max: 1645105.38Min: 1351394.62 / Avg: 1500640.31 / Max: 1706539.12Min: 1193546.5 / Avg: 1498592.43 / Max: 1721280.62Min: 1358739.12 / Avg: 1495615.59 / Max: 1727171Min: 1293661 / Avg: 1475849.68 / Max: 1686340.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetAMD 7F72EPYC 7F72AMD EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P1530456075SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 3.29, N = 9SE +/- 1.31, N = 12SE +/- 32.56, N = 921.1021.2621.8739.1643.0668.43MIN: 18.23 / MAX: 105.85MIN: 18.08 / MAX: 111.42MIN: 18.11 / MAX: 113.58MIN: 29.86 / MAX: 3350.4MIN: 31.76 / MAX: 540.59MIN: 29.51 / MAX: 3576.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetAMD 7F72EPYC 7F72AMD EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P1326395265Min: 20.8 / Avg: 21.1 / Max: 21.39Min: 20.89 / Avg: 21.26 / Max: 21.8Min: 21.31 / Avg: 21.87 / Max: 22.31Min: 32.44 / Avg: 39.16 / Max: 64Min: 37.64 / Avg: 43.06 / Max: 51.75Min: 32.14 / Avg: 68.43 / Max: 328.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC 7F72AMD EPYC 7F72AMD 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P1428425670SE +/- 0.66, N = 3SE +/- 0.56, N = 3SE +/- 0.49, N = 3SE +/- 3.70, N = 9SE +/- 1.97, N = 9SE +/- 4.13, N = 1221.4422.2022.2646.4647.4460.78MIN: 18.65 / MAX: 82.99MIN: 18.67 / MAX: 87.73MIN: 18.47 / MAX: 54.35MIN: 32.81 / MAX: 130.57MIN: 31.66 / MAX: 146.33MIN: 33.09 / MAX: 237.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC 7F72AMD EPYC 7F72AMD 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P1224364860Min: 20.75 / Avg: 21.44 / Max: 22.75Min: 21.24 / Avg: 22.2 / Max: 23.17Min: 21.3 / Avg: 22.26 / Max: 22.87Min: 35.1 / Avg: 46.46 / Max: 70.44Min: 36.44 / Avg: 47.44 / Max: 56.8Min: 38.82 / Avg: 60.78 / Max: 79.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P816243240SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 2.05, N = 9SE +/- 1.77, N = 9SE +/- 2.24, N = 1210.0410.0610.0832.6333.1834.70MIN: 8.78 / MAX: 67.63MIN: 8.8 / MAX: 95.72MIN: 8.99 / MAX: 20.35MIN: 16.77 / MAX: 105.83MIN: 16.98 / MAX: 1915.06MIN: 16.28 / MAX: 2990.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P714212835Min: 9.73 / Avg: 10.04 / Max: 10.32Min: 9.8 / Avg: 10.06 / Max: 10.39Min: 10.02 / Avg: 10.08 / Max: 10.15Min: 21.86 / Avg: 32.63 / Max: 38.28Min: 27.17 / Avg: 33.18 / Max: 43.6Min: 23.33 / Avg: 34.7 / Max: 44.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P816243240SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 2.41, N = 9SE +/- 0.87, N = 9SE +/- 1.57, N = 119.529.619.9431.7332.1833.50MIN: 8.4 / MAX: 19.2MIN: 8.63 / MAX: 62.41MIN: 8.64 / MAX: 101.46MIN: 18.95 / MAX: 2531.7MIN: 19.35 / MAX: 124.33MIN: 18.64 / MAX: 1819.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P714212835Min: 9.2 / Avg: 9.52 / Max: 9.9Min: 9.46 / Avg: 9.61 / Max: 9.83Min: 9.84 / Avg: 9.94 / Max: 10.12Min: 22.96 / Avg: 31.73 / Max: 43.61Min: 26.17 / Avg: 32.18 / Max: 36.16Min: 26.41 / Avg: 33.5 / Max: 42.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2AMD 7F72EPYC 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P816243240SE +/- 0.14, N = 3SE +/- 0.49, N = 3SE +/- 0.16, N = 3SE +/- 1.30, N = 9SE +/- 4.58, N = 9SE +/- 1.47, N = 1210.3510.4510.4529.7331.5332.47MIN: 8.97 / MAX: 20.34MIN: 9 / MAX: 67.14MIN: 9.13 / MAX: 68.26MIN: 18.72 / MAX: 99.3MIN: 19.78 / MAX: 3234.51MIN: 19.24 / MAX: 158.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2AMD 7F72EPYC 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P714212835Min: 10.1 / Avg: 10.35 / Max: 10.6Min: 9.84 / Avg: 10.45 / Max: 11.41Min: 10.14 / Avg: 10.45 / Max: 10.66Min: 25.6 / Avg: 29.73 / Max: 36.36Min: 24.57 / Avg: 31.53 / Max: 67.85Min: 24.41 / Avg: 32.47 / Max: 41.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetAMD EPYC 7F72AMD 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P918273645SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.33, N = 3SE +/- 2.05, N = 9SE +/- 6.48, N = 9SE +/- 4.23, N = 129.509.519.5833.4536.4539.12MIN: 8.28 / MAX: 26.52MIN: 8.23 / MAX: 82.21MIN: 8.12 / MAX: 77.12MIN: 16.65 / MAX: 742.59MIN: 17.61 / MAX: 3072.99MIN: 17.58 / MAX: 1785.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetAMD EPYC 7F72AMD 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P816243240Min: 9.31 / Avg: 9.5 / Max: 9.87Min: 9.09 / Avg: 9.51 / Max: 9.93Min: 9.06 / Avg: 9.58 / Max: 10.2Min: 22.94 / Avg: 33.45 / Max: 46.24Min: 24.08 / Avg: 36.45 / Max: 87.55Min: 21.67 / Avg: 39.12 / Max: 68.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC 7F72AMD EPYC 7F72AMD 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P1122334455SE +/- 0.25, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 2.94, N = 9SE +/- 3.27, N = 12SE +/- 8.35, N = 912.2912.5412.6140.1843.8647.15MIN: 10.71 / MAX: 71.52MIN: 11.02 / MAX: 93.95MIN: 10.98 / MAX: 64.21MIN: 23.32 / MAX: 3005.7MIN: 23.72 / MAX: 2862.86MIN: 24.1 / MAX: 4132.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC 7F72AMD EPYC 7F72AMD 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P1020304050Min: 11.79 / Avg: 12.29 / Max: 12.58Min: 12.35 / Avg: 12.54 / Max: 12.76Min: 12.45 / Avg: 12.61 / Max: 12.74Min: 28.2 / Avg: 40.18 / Max: 56.64Min: 28.68 / Avg: 43.86 / Max: 63.4Min: 30.78 / Avg: 47.15 / Max: 112.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P3691215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.39, N = 9SE +/- 0.47, N = 9SE +/- 0.66, N = 124.094.134.1610.8411.4013.16MIN: 3.49 / MAX: 10.46MIN: 3.53 / MAX: 17.37MIN: 3.55 / MAX: 15.23MIN: 7.35 / MAX: 56.45MIN: 8.9 / MAX: 30.45MIN: 7.98 / MAX: 86.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P48121620Min: 4.03 / Avg: 4.09 / Max: 4.16Min: 4.1 / Avg: 4.13 / Max: 4.17Min: 4.05 / Avg: 4.16 / Max: 4.22Min: 8.71 / Avg: 10.84 / Max: 12.2Min: 9.94 / Avg: 11.4 / Max: 14.61Min: 10.32 / Avg: 13.16 / Max: 16.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P1326395265SE +/- 0.20, N = 3SE +/- 0.41, N = 3SE +/- 0.24, N = 3SE +/- 2.94, N = 9SE +/- 3.10, N = 9SE +/- 4.22, N = 1221.5522.0122.0740.6542.9557.46MIN: 20.16 / MAX: 115.96MIN: 20.09 / MAX: 121.23MIN: 20.38 / MAX: 109.3MIN: 29.01 / MAX: 203.47MIN: 29.59 / MAX: 214.92MIN: 30.69 / MAX: 401.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P1122334455Min: 21.27 / Avg: 21.55 / Max: 21.93Min: 21.43 / Avg: 22.01 / Max: 22.79Min: 21.71 / Avg: 22.07 / Max: 22.53Min: 29.94 / Avg: 40.65 / Max: 51.94Min: 30.84 / Avg: 42.95 / Max: 58.7Min: 32.67 / Avg: 57.46 / Max: 80.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P1530456075SE +/- 0.23, N = 3SE +/- 0.88, N = 3SE +/- 0.64, N = 3SE +/- 2.16, N = 9SE +/- 3.59, N = 9SE +/- 2.81, N = 1236.4836.5637.4854.1955.5569.56MIN: 33.2 / MAX: 130.64MIN: 33.32 / MAX: 133.5MIN: 33.78 / MAX: 126.41MIN: 43.69 / MAX: 183.9MIN: 44.48 / MAX: 1203.03MIN: 45.69 / MAX: 825.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P1326395265Min: 36.02 / Avg: 36.48 / Max: 36.8Min: 35.38 / Avg: 36.56 / Max: 38.29Min: 36.2 / Avg: 37.48 / Max: 38.14Min: 46.7 / Avg: 54.19 / Max: 64.6Min: 48.17 / Avg: 55.55 / Max: 83.51Min: 56.84 / Avg: 69.56 / Max: 87.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P714212835SE +/- 0.08, N = 3SE +/- 0.27, N = 3SE +/- 0.35, N = 3SE +/- 0.97, N = 9SE +/- 1.57, N = 12SE +/- 8.38, N = 913.8213.8614.1021.2424.8030.48MIN: 12.13 / MAX: 30.86MIN: 11.95 / MAX: 34.76MIN: 12.23 / MAX: 36.59MIN: 17.2 / MAX: 114.52MIN: 17.45 / MAX: 211.2MIN: 16.86 / MAX: 1521.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC 7F72AMD 7F72AMD EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P714212835Min: 13.68 / Avg: 13.82 / Max: 13.96Min: 13.46 / Avg: 13.86 / Max: 14.37Min: 13.41 / Avg: 14.1 / Max: 14.55Min: 17.65 / Avg: 21.24 / Max: 25.43Min: 19.01 / Avg: 24.8 / Max: 35.51Min: 18.19 / Avg: 30.48 / Max: 97.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P3691215SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.38, N = 9SE +/- 0.44, N = 9SE +/- 0.41, N = 1210.3810.5110.5210.8911.0712.14MIN: 9.08 / MAX: 21.34MIN: 9.04 / MAX: 16.98MIN: 9.15 / MAX: 90.44MIN: 8.79 / MAX: 91.38MIN: 8.87 / MAX: 549.19MIN: 8.73 / MAX: 262.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P48121620Min: 10.19 / Avg: 10.38 / Max: 10.49Min: 10.35 / Avg: 10.51 / Max: 10.62Min: 10.19 / Avg: 10.52 / Max: 10.8Min: 9.42 / Avg: 10.89 / Max: 12.99Min: 9.44 / Avg: 11.07 / Max: 13.28Min: 10.15 / Avg: 12.14 / Max: 14.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50AMD 7F72EPYC 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P1326395265SE +/- 0.54, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 1.38, N = 9SE +/- 4.19, N = 9SE +/- 5.95, N = 1224.5324.9525.0344.5546.8956.48MIN: 22.55 / MAX: 91.3MIN: 22.93 / MAX: 118.48MIN: 23.18 / MAX: 107.4MIN: 32.73 / MAX: 132.9MIN: 33.82 / MAX: 2829.75MIN: 36.09 / MAX: 4251.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50AMD 7F72EPYC 7F72AMD EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P1122334455Min: 23.71 / Avg: 24.53 / Max: 25.55Min: 24.71 / Avg: 24.95 / Max: 25.15Min: 24.83 / Avg: 25.03 / Max: 25.44Min: 37.99 / Avg: 44.55 / Max: 48.56Min: 37.94 / Avg: 46.89 / Max: 78.89Min: 39.62 / Avg: 56.48 / Max: 114.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyAMD EPYC 7F72EPYC 7F72AMD 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P1122334455SE +/- 0.29, N = 3SE +/- 0.18, N = 3SE +/- 0.43, N = 3SE +/- 2.49, N = 9SE +/- 1.13, N = 12SE +/- 3.26, N = 930.7531.0531.3345.7849.6250.92MIN: 28.27 / MAX: 134MIN: 28.99 / MAX: 116.2MIN: 28.52 / MAX: 71.5MIN: 35.06 / MAX: 1595.62MIN: 38.65 / MAX: 235.85MIN: 35.74 / MAX: 1673.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyAMD EPYC 7F72EPYC 7F72AMD 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72 2P1020304050Min: 30.29 / Avg: 30.75 / Max: 31.28Min: 30.76 / Avg: 31.05 / Max: 31.39Min: 30.48 / Avg: 31.33 / Max: 31.87Min: 40.72 / Avg: 45.78 / Max: 64.99Min: 43.6 / Avg: 49.62 / Max: 56.25Min: 41.01 / Avg: 50.92 / Max: 72.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2AMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P70140210280350SE +/- 0.39, N = 3SE +/- 0.88, N = 3SE +/- 0.66, N = 3SE +/- 0.89, N = 3SE +/- 2.64, N = 3SE +/- 2.69, N = 15292.90294.65295.19299.45316.82322.30MIN: 281.47 / MAX: 324.04MIN: 281.79 / MAX: 332.39MIN: 281.63 / MAX: 334.08MIN: 284.3 / MAX: 463.88MIN: 284.59 / MAX: 461.35MIN: 284.29 / MAX: 478.051. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2AMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P60120180240300Min: 292.14 / Avg: 292.9 / Max: 293.41Min: 292.94 / Avg: 294.65 / Max: 295.84Min: 294.14 / Avg: 295.19 / Max: 296.42Min: 297.67 / Avg: 299.45 / Max: 300.44Min: 313.92 / Avg: 316.82 / Max: 322.1Min: 310.59 / Avg: 322.3 / Max: 339.171. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F7260120180240300SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.24, N = 3274.13274.33274.45275.38275.52275.70MIN: 273.18 / MAX: 274.92MIN: 273.5 / MAX: 275.08MIN: 273.58 / MAX: 288.27MIN: 273.95 / MAX: 287.65MIN: 274.32 / MAX: 281.55MIN: 274.17 / MAX: 289.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F7250100150200250Min: 273.99 / Avg: 274.13 / Max: 274.38Min: 274.29 / Avg: 274.33 / Max: 274.37Min: 274.21 / Avg: 274.45 / Max: 274.61Min: 274.62 / Avg: 275.38 / Max: 275.79Min: 275.39 / Avg: 275.52 / Max: 275.78Min: 275.36 / Avg: 275.7 / Max: 276.171. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomAMD 7F72AMD EPYC 7F72EPYC 7F721.07442.14883.22324.29765.372SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.029, N = 34.7754.7704.769
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomAMD 7F72AMD EPYC 7F72EPYC 7F72246810Min: 4.75 / Avg: 4.78 / Max: 4.79Min: 4.76 / Avg: 4.77 / Max: 4.78Min: 4.74 / Avg: 4.77 / Max: 4.83

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarAMD 7F72AMD EPYC 7F72EPYC 7F723691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 310.3410.3110.31
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarAMD 7F72AMD EPYC 7F72EPYC 7F723691215Min: 10.31 / Avg: 10.34 / Max: 10.38Min: 10.28 / Avg: 10.31 / Max: 10.36Min: 10.23 / Avg: 10.31 / Max: 10.42

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72 2PAMD 7F72EPYC 7F7270M140M210M280M350MSE +/- 139034.34, N = 3SE +/- 41543.71, N = 3SE +/- 256408.73, N = 3SE +/- 767979.21, N = 3SE +/- 81095.29, N = 3SE +/- 739610.19, N = 3322779429.08322561482.01322432634.13322198292.40321880722.64321206770.061. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72 2PAMD 7F72EPYC 7F7260M120M180M240M300MMin: 322565326.01 / Avg: 322779429.08 / Max: 323040141.12Min: 322488789.04 / Avg: 322561482.01 / Max: 322632677.3Min: 322139793.26 / Avg: 322432634.13 / Max: 322943635.8Min: 320662645.64 / Avg: 322198292.4 / Max: 322992910.51Min: 321790838.8 / Avg: 321880722.64 / Max: 322042583.37Min: 319737613.96 / Avg: 321206770.06 / Max: 322090529.131. (CC) gcc options: -O3 -march=native -lm

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2PAMD EPYC 7F72 2P7F72 2P400800120016002000200920071960169516621654

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P30060090012001500152315201513107810751063

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreAMD 7F72AMD EPYC 7F72EPYC 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2P8001600240032004000353235273473277327292725

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7F72 2PAMD EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD 7F72120K240K360K480K600KSE +/- 5131.05, N = 3SE +/- 3310.62, N = 3SE +/- 4510.18, N = 3SE +/- 5940.23, N = 3SE +/- 5796.24, N = 3SE +/- 4364.31, N = 3577796573567572905572833568796567897
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7F72 2PAMD EPYC 7F72AMD EPYC 7F72 2P7F72 2PEPYC 7F72AMD 7F72100K200K300K400K500KMin: 567707 / Avg: 577795.67 / Max: 584467Min: 567604 / Avg: 573567 / Max: 579041Min: 563904 / Avg: 572904.67 / Max: 577921Min: 561161 / Avg: 572832.67 / Max: 580589Min: 559904 / Avg: 568795.67 / Max: 579683Min: 562047 / Avg: 567896.67 / Max: 576432

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaAMD EPYC 7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2P7F72 2P1224364860SE +/- 0.73, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.49, N = 3SE +/- 0.57, N = 351.7251.7451.8251.8453.0253.73
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaAMD EPYC 7F72 2PEPYC 7F72AMD 7F72AMD EPYC 7F72EPYC 7F72 2P7F72 2P1122334455Min: 50.27 / Avg: 51.72 / Max: 52.45Min: 51.53 / Avg: 51.74 / Max: 51.88Min: 51.67 / Avg: 51.82 / Max: 51.96Min: 51.81 / Avg: 51.84 / Max: 51.88Min: 52.08 / Avg: 53.02 / Max: 53.75Min: 52.63 / Avg: 53.73 / Max: 54.54

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaAMD 7F72AMD EPYC 7F72EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P1224364860SE +/- 0.18, N = 3SE +/- 0.31, N = 10SE +/- 0.08, N = 3SE +/- 0.53, N = 15SE +/- 0.47, N = 15SE +/- 0.64, N = 1539.4939.8640.0551.4654.1854.56
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaAMD 7F72AMD EPYC 7F72EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P1122334455Min: 39.3 / Avg: 39.49 / Max: 39.84Min: 39.28 / Avg: 39.86 / Max: 42.6Min: 39.89 / Avg: 40.05 / Max: 40.16Min: 48.63 / Avg: 51.46 / Max: 55.73Min: 51.19 / Avg: 54.18 / Max: 56.68Min: 48.72 / Avg: 54.56 / Max: 58.79

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7F72AMD 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 324.4524.4924.5124.5524.6125.02
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7F72AMD 7F72EPYC 7F72 2P7F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72612182430Min: 24.38 / Avg: 24.45 / Max: 24.51Min: 24.45 / Avg: 24.49 / Max: 24.52Min: 24.47 / Avg: 24.51 / Max: 24.54Min: 24.49 / Avg: 24.55 / Max: 24.65Min: 24.51 / Avg: 24.61 / Max: 24.81Min: 24.84 / Avg: 25.02 / Max: 25.31

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionAMD 7F72EPYC 7F72AMD EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P0.40050.8011.20151.6022.0025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 15SE +/- 0.02, N = 15SE +/- 0.01, N = 141.591.611.621.701.751.78
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionAMD 7F72EPYC 7F72AMD EPYC 7F727F72 2PEPYC 7F72 2PAMD EPYC 7F72 2P246810Min: 1.58 / Avg: 1.59 / Max: 1.6Min: 1.59 / Avg: 1.61 / Max: 1.62Min: 1.61 / Avg: 1.62 / Max: 1.64Min: 1.51 / Avg: 1.7 / Max: 1.95Min: 1.63 / Avg: 1.75 / Max: 1.87Min: 1.72 / Avg: 1.78 / Max: 1.87

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7F72 2PAMD EPYC 7F72 2P7F72 2PAMD EPYC 7F72EPYC 7F72AMD 7F72140K280K420K560K700K6386636324956297063418853379243323941. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -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.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000AMD 7F72EPYC 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P300K600K900K1200K1500KSE +/- 3879.14, N = 3SE +/- 2428.05, N = 3SE +/- 2015.92, N = 3SE +/- 941.41, N = 3SE +/- 288.02, N = 3SE +/- 2635.14, N = 31199592.41197999.81197198.0951085.7949471.8944430.6
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000AMD 7F72EPYC 7F72AMD EPYC 7F72AMD EPYC 7F72 2PEPYC 7F72 2P7F72 2P200K400K600K800K1000KMin: 1192621.9 / Avg: 1199592.4 / Max: 1206027.6Min: 1194895.1 / Avg: 1197999.83 / Max: 1202785.9Min: 1194830.9 / Avg: 1197198 / Max: 1201208.1Min: 949254.9 / Avg: 951085.67 / Max: 952381.8Min: 948957.8 / Avg: 949471.8 / Max: 949954Min: 940475.8 / Avg: 944430.63 / Max: 949424.9

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7F72 2PEPYC 7F72AMD 7F727F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72300K600K900K1200K1500KSE +/- 11350.62, N = 3SE +/- 1881.74, N = 3SE +/- 811.21, N = 3SE +/- 1149.51, N = 3SE +/- 961.62, N = 3SE +/- 1608.37, N = 31345908.11339487.51339130.11337280.41328030.91297582.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7F72 2PEPYC 7F72AMD 7F727F72 2PAMD EPYC 7F72 2PAMD EPYC 7F72200K400K600K800K1000KMin: 1323232.9 / Avg: 1345908.13 / Max: 1358186.7Min: 1337542.7 / Avg: 1339487.53 / Max: 1343250.3Min: 1337830.3 / Avg: 1339130.13 / Max: 1340620.9Min: 1335075.1 / Avg: 1337280.37 / Max: 1338945.8Min: 1326148.7 / Avg: 1328030.87 / Max: 1329314.3Min: 1295132.3 / Avg: 1297582.53 / Max: 1300612.6

156 Results Shown

LevelDB:
  Hot Read
  Fill Sync
  Fill Sync
  Overwrite
  Overwrite
  Rand Fill
  Rand Fill
  Rand Read
  Seek Rand
  Rand Delete
  Seq Fill
  Seq Fill
yquake2
High Performance Conjugate Gradient
HPC Challenge:
  G-HPL
  G-Ffte
  EP-DGEMM
  G-Ptrans
  EP-STREAM Triad
  G-Rand Access
  Rand Ring Latency
  Rand Ring Bandwidth
  Max Ping Pong Bandwidth
NAMD
FFTE
Timed HMMer Search
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
BYTE Unix Benchmark
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
LibRaw
Crafty
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Ultra Fast
rav1e:
  1
  5
  6
  10
x264
x265:
  Bosphorus 4K
  Bosphorus 1080p
Stockfish
asmFish
Timed Clash Compilation
Timed Linux Kernel Compilation
Timed LLVM Compilation
Numpy Benchmark
eSpeak-NG Speech Engine
RNNoise
KeyDB
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
PostgreSQL pgbench:
  1 - 1 - Read Only
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 50 - Read Only
  1 - 50 - Read Only - Average Latency
  1 - 100 - Read Only
  1 - 100 - Read Only - Average Latency
  1 - 50 - Read Write
  1 - 50 - Read Write - Average Latency
  100 - 1 - Read Only
  100 - 1 - Read Only - Average Latency
  1 - 100 - Read Write
  1 - 100 - Read Write - Average Latency
  100 - 1 - Read Write
  100 - 1 - Read Write - Average Latency
  100 - 50 - Read Only
  100 - 50 - Read Only - Average Latency
  100 - 100 - Read Only
  100 - 100 - Read Only - Average Latency
  100 - 50 - Read Write
  100 - 50 - Read Write - Average Latency
  100 - 100 - Read Write
  100 - 100 - Read Write - Average Latency
Basis Universal:
  ETC1S
  UASTC Level 0
  UASTC Level 2
  UASTC Level 3
  UASTC Level 2 + RDO Post-Processing
Hugin
Redis:
  LPOP
  SADD
  LPUSH
  GET
  SET
NCNN:
  CPU - squeezenet
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
Hierarchical INTegration
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
PHPBench
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
BRL-CAD
InfluxDB:
  4 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000