Xeon E3 December

Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012162-HA-XEONE3DEC01&grs.

Xeon E3 DecemberProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution123Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads)ASUS P10S-M WS (4401 BIOS)Intel Xeon E3-1200 v6/7th16GBSamsung SSD 970 EVO Plus 500GBIntel HD P630 3GB (1150MHz)Realtek ALC1150VA24312 x Intel I210Ubuntu 20.045.9.0-050900rc8daily20201007-generic (x86_64) 20201006GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext41920x1080OpenBenchmarking.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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Xeon E3 Decemberrav1e: 10compilebench: Initial Createasmfish: 1024 Hash Memory, 26 Depthonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUcompilebench: Compilerav1e: 1apache-siege: 500apache-siege: 250apache-siege: 100openvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondsqlite-speedtest: Timed Time - Size 1,000rav1e: 5rav1e: 6onednn: Deconvolution Batch shapes_1d - f32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUmafft: Multiple Sequence Alignment - LSU RNAapache-siege: 200onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUstockfish: Total Timeopenvino: Person Detection 0106 FP16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUopenvino: Face Detection 0106 FP32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUastcenc: Fastapache-siege: 50onednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUopenvino: Face Detection 0106 FP16 - CPUapache-siege: 10onednn: IP Shapes 1D - u8s8f32 - CPUbuild-clash: Time To Compileonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUhmmer: Pfam Database Searchonednn: Recurrent Neural Network Training - f32 - CPUastcenc: Mediumbuild-ffmpeg: Time To Compileonednn: Recurrent Neural Network Inference - f32 - CPUastcenc: Exhaustiveastcenc: Thoroughopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUsimdjson: DistinctUserIDsimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyaonednn: Recurrent Neural Network Inference - u8s8f32 - CPUcompilebench: Read Compiled Tree1232.865473.521315826710.44551529.810.37238677.4538590.7940012.343219.390.800.81155626.04895468.2331.0561.3799.812494875.641.321.3211.42538755.726.849737.459683205.614.7666886395874847.2718.31663022.016.3689013.23068.4741017.252.8862611.18636789.7318.08853017.5238119.563.36937466.7086787.993592.40114.3126775.8710.37117.0023592.95524.5865.951.231.230.630.610.410.663592.062257.822.820484.301287542410.25711539.370.37838477.4038026.5740225.753182.230.790.8156356.20338768.0081.0461.3879.893014915.231.321.3211.39638603.436.815267.416293211.684.7827886441714870.6418.39423007.786.3902913.28568.4741152.762.8932511.21926770.4518.10443009.7238216.693.37141466.4906774.753588.91114.2706772.0610.37116.9323594.10524.4865.961.231.230.630.610.410.664305.982813.012.918482.681301742510.27611514.900.37738076.7638218.5439651.463228.310.800.80157395.23511268.7241.0561.3759.811574908.311.331.3311.34138874.506.807017.425853223.234.7567685973544871.4118.30383008.326.3636313.27088.5041107.602.8955511.21606771.8518.13983010.3638216.693.37756465.7456774.263595.75114.1826769.1410.38117.0303591.71524.2765.941.231.230.630.610.410.663590.092774.39OpenBenchmarking.org

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.65661.31321.96982.62643.283SE +/- 0.017, N = 3SE +/- 0.037, N = 4SE +/- 0.039, N = 52.8652.8202.918

Compile Bench

Test: Initial Create

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create123100200300400500SE +/- 5.30, N = 3SE +/- 0.96, N = 3SE +/- 0.62, N = 3473.52484.30482.68

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1233M6M9M12M15MSE +/- 179306.80, N = 4SE +/- 96223.72, N = 3SE +/- 118043.94, N = 3131582671287542413017425

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 310.4510.2610.28MIN: 10.18MIN: 10.16MIN: 10.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Compile Bench

Test: Compile

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile12330060090012001500SE +/- 13.75, N = 11SE +/- 18.44, N = 3SE +/- 7.60, N = 31529.811539.371514.90

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11230.08510.17020.25530.34040.4255SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.3720.3780.377

Apache Siege

Concurrent Users: 500

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 5001238K16K24K32K40KSE +/- 35.82, N = 3SE +/- 85.64, N = 3SE +/- 14.30, N = 338677.4538477.4038076.761. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

Apache Siege

Concurrent Users: 250

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2501238K16K24K32K40KSE +/- 109.12, N = 3SE +/- 185.77, N = 3SE +/- 25.30, N = 338590.7938026.5738218.541. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

Apache Siege

Concurrent Users: 100

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 1001239K18K27K36K45KSE +/- 183.00, N = 3SE +/- 98.66, N = 3SE +/- 87.37, N = 340012.3440225.7539651.461. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1237001400210028003500SE +/- 3.24, N = 3SE +/- 29.05, N = 3SE +/- 3.52, N = 33219.393182.233228.31

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.800.790.80

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.18230.36460.54690.72920.9115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.810.800.80

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12330K60K90K120K150KSE +/- 955.86, N = 3SE +/- 1237.02, N = 3SE +/- 98.89, N = 3155626.05156356.20157395.241. (CC) gcc options: -O2 -lrt" -lrt

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231530456075SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 368.2368.0168.721. (CC) gcc options: -O2 -ldl -lz -lpthread

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.23760.47520.71280.95041.188SE +/- 0.001, N = 3SE +/- 0.010, N = 3SE +/- 0.003, N = 31.0561.0461.056

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.31210.62420.93631.24841.5605SE +/- 0.017, N = 3SE +/- 0.011, N = 3SE +/- 0.012, N = 31.3791.3871.375

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.00257, N = 3SE +/- 0.07275, N = 3SE +/- 0.00492, N = 39.812499.893019.81157MIN: 9.74MIN: 9.75MIN: 9.741. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12311002200330044005500SE +/- 8.64, N = 3SE +/- 44.02, N = 3SE +/- 50.41, N = 34875.644915.234908.31

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.29930.59860.89791.19721.4965SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.321.321.33

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1230.29930.59860.89791.19721.4965SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.321.321.33

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 311.4311.4011.341. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Apache Siege

Concurrent Users: 200

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 2001238K16K24K32K40KSE +/- 141.39, N = 3SE +/- 127.44, N = 3SE +/- 186.94, N = 338755.7238603.4338874.501. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.03178, N = 3SE +/- 0.01077, N = 3SE +/- 0.00592, N = 36.849736.815266.80701MIN: 6.77MIN: 6.77MIN: 6.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.04449, N = 3SE +/- 0.00627, N = 3SE +/- 0.01688, N = 37.459687.416297.42585MIN: 7.15MIN: 7.17MIN: 7.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1237001400210028003500SE +/- 10.94, N = 3SE +/- 3.45, N = 3SE +/- 6.47, N = 33205.613211.683223.23

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1231.07612.15223.22834.30445.3805SE +/- 0.01267, N = 3SE +/- 0.02507, N = 3SE +/- 0.00851, N = 34.766684.782784.75676MIN: 4.69MIN: 4.69MIN: 4.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1232M4M6M8M10MSE +/- 63551.24, N = 3SE +/- 127238.25, N = 4SE +/- 37732.26, N = 38639587864417185973541. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12310002000300040005000SE +/- 11.04, N = 3SE +/- 16.52, N = 3SE +/- 6.66, N = 34847.274870.644871.41

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 318.3218.3918.30MIN: 18.23MIN: 18.27MIN: 18.231. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1236001200180024003000SE +/- 19.19, N = 3SE +/- 1.32, N = 3SE +/- 6.33, N = 33022.013007.783008.32

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.00321, N = 3SE +/- 0.01827, N = 3SE +/- 0.00385, N = 36.368906.390296.36363MIN: 6.32MIN: 6.3MIN: 6.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.2313.2913.27MIN: 13.08MIN: 13.05MIN: 13.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.478.478.501. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Apache Siege

Concurrent Users: 50

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 501239K18K27K36K45KSE +/- 19.42, N = 3SE +/- 101.36, N = 3SE +/- 96.04, N = 341017.2541152.7641107.601. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.65151.3031.95452.6063.2575SE +/- 0.00454, N = 3SE +/- 0.00431, N = 3SE +/- 0.01185, N = 32.886262.893252.89555MIN: 2.82MIN: 2.82MIN: 2.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 311.1911.2211.22MIN: 11.04MIN: 11.09MIN: 11.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12315003000450060007500SE +/- 11.59, N = 3SE +/- 0.62, N = 3SE +/- 0.89, N = 36789.736770.456771.85MIN: 6771.62MIN: 6765.69MIN: 6767.121. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU12348121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 318.0918.1018.14MIN: 17.98MIN: 18.01MIN: 17.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1236001200180024003000SE +/- 10.16, N = 3SE +/- 0.33, N = 3SE +/- 6.92, N = 33017.523009.723010.36

Apache Siege

Concurrent Users: 10

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 101238K16K24K32K40KSE +/- 48.38, N = 3SE +/- 48.75, N = 3SE +/- 48.75, N = 338119.5638216.6938216.691. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.761.522.283.043.8SE +/- 0.00251, N = 3SE +/- 0.00402, N = 3SE +/- 0.00570, N = 33.369373.371413.37756MIN: 3.34MIN: 3.34MIN: 3.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed Clash Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile123100200300400500SE +/- 0.73, N = 3SE +/- 1.13, N = 3SE +/- 0.73, N = 3466.71466.49465.75

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12315003000450060007500SE +/- 13.50, N = 3SE +/- 3.30, N = 3SE +/- 3.71, N = 36787.996774.756774.26MIN: 6769.98MIN: 6765.45MIN: 6764.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1238001600240032004000SE +/- 0.86, N = 3SE +/- 1.29, N = 3SE +/- 0.95, N = 33592.403588.913595.75MIN: 3587.3MIN: 3583.6MIN: 3590.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3114.31114.27114.181. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12315003000450060007500SE +/- 3.56, N = 3SE +/- 2.83, N = 3SE +/- 0.57, N = 36775.876772.066769.14MIN: 6765.02MIN: 6762.71MIN: 6763.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1233691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.3710.3710.381. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile123306090120150SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3117.00116.93117.03

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1238001600240032004000SE +/- 1.29, N = 3SE +/- 3.43, N = 3SE +/- 0.34, N = 33592.953594.103591.71MIN: 3587.61MIN: 3586.14MIN: 3586.031. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123110220330440550SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3524.58524.48524.271. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231530456075SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 365.9565.9665.941. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.27680.55360.83041.10721.384SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.231.231.23

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.27680.55360.83041.10721.384SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.231.231.23

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.630.631. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.13730.27460.41190.54920.6865SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.610.610.611. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.09230.18460.27690.36920.4615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.410.410.411. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.14850.2970.44550.5940.7425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.660.660.661. (CXX) g++ options: -O3 -pthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1239001800270036004500SE +/- 1.44, N = 3SE +/- 661.22, N = 12SE +/- 0.26, N = 33592.064305.983590.09MIN: 3586.85MIN: 3583.59MIN: 3584.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Compile Bench

Test: Read Compiled Tree

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree1236001200180024003000SE +/- 190.86, N = 3SE +/- 19.61, N = 3SE +/- 9.50, N = 32257.822813.012774.39

Phoronix Test Suite v10.8.4