Core i9 7960X

Intel Core i9-7960X testing with a MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS) and Gigabyte AMD Radeon RX 550/550X 2GB on Ubuntu 19.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/1906026-HV-COREI979613.

Core i9 7960XProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionIntel Core i9-7960XIntel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads)MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS)Intel Sky Lake-E DMI3 Registers16384MB256GB INTEL SSDPEKKW256G8Gigabyte AMD Radeon RX 550/550X 2GB (1206/1750MHz)Realtek ALC1220ASUS VP28UIntel I219-V + Intel I211Ubuntu 19.045.0.0-15-generic (x86_64)GNOME Shell 3.32.0X Server 1.20.4modesetting 1.20.4GCC 8.3.0ext43840x2160OpenBenchmarking.org- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave- 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 __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

Core i9 7960Xmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8u8s32mkl-dnn: IP Batch 1D - u8s8f32s32mkl-dnn: IP Batch All - u8s8u8s32mkl-dnn: IP Batch All - u8s8f32s32mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: Convolution Batch conv_3d - u8s8u8s32mkl-dnn: Convolution Batch conv_3d - u8s8f32s32mkl-dnn: Convolution Batch conv_all - u8s8u8s32mkl-dnn: Convolution Batch conv_all - u8s8f32s32mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32mkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32svt-av1: 1080p 8-bit YUV To AV1 Video Encodevpxenc: vpxenc VP9 1080p Video Encodedav1d: Summer Nature 4Kdav1d: Summer Nature 1080ptachyon: Total Timeopenssl: RSA 4096-bit Performancemysqlslap: 1mysqlslap: 4mysqlslap: 8mysqlslap: 16mysqlslap: 32mysqlslap: 64mysqlslap: 128mysqlslap: 256gimp: resizegimp: rotategimp: auto-levelsgimp: unsharp-maskapache: Static Web Page Servingapache-siege: 10apache-siege: 50apache-siege: 100apache-siege: 200apache-siege: 250Intel Core i9-7960X9.9098.323.023.0233.7634.3711.941127.411.832.66131.831000.9511046.0711027.305651.085709.3363.971.026050.5887.061.025728.8810148.2088.8135.6838.0347.40228.0020.086.972.924411.10132569771069711617093643119.1414.2417.3720.3532073.2138976.0531480.1735291.9232736.9432584.30OpenBenchmarking.org

MKL-DNN

Harness: IP Batch 1D - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: f32Intel Core i9-7960X3691215SE +/- 0.07, N = 39.90MIN: 4.821. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch All - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: f32Intel Core i9-7960X20406080100SE +/- 1.67, N = 398.32MIN: 61.281. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch 1D - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8u8s32Intel Core i9-7960X0.67951.3592.03852.7183.3975SE +/- 0.05, N = 33.02MIN: 1.571. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch 1D - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8f32s32Intel Core i9-7960X0.67951.3592.03852.7183.3975SE +/- 0.04, N = 33.02MIN: 1.581. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch All - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8u8s32Intel Core i9-7960X816243240SE +/- 0.17, N = 333.76MIN: 18.831. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: IP Batch All - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8f32s32Intel Core i9-7960X816243240SE +/- 0.23, N = 334.37MIN: 20.631. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_3d - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f32Intel Core i9-7960X3691215SE +/- 0.00, N = 311.94MIN: 11.821. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_all - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: f32Intel Core i9-7960X2004006008001000SE +/- 0.33, N = 31127.41MIN: 1120.841. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Deconvolution Batch deconv_1d - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: f32Intel Core i9-7960X0.41180.82361.23541.64722.059SE +/- 0.00, N = 31.83MIN: 1.781. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Deconvolution Batch deconv_3d - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: f32Intel Core i9-7960X0.59851.1971.79552.3942.9925SE +/- 0.00, N = 32.66MIN: 2.631. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_alexnet - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: f32Intel Core i9-7960X306090120150SE +/- 0.09, N = 3131.83MIN: 130.811. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Deconvolution Batch deconv_all - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: f32Intel Core i9-7960X2004006008001000SE +/- 0.69, N = 31000.95MIN: 993.421. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32Intel Core i9-7960X2K4K6K8K10KSE +/- 3.33, N = 311046.07MIN: 11035.81. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32Intel Core i9-7960X2K4K6K8K10KSE +/- 4.81, N = 311027.30MIN: 11004.91. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_all - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8u8s32Intel Core i9-7960X12002400360048006000SE +/- 13.95, N = 35651.08MIN: 5619.281. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_all - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8f32s32Intel Core i9-7960X12002400360048006000SE +/- 1.66, N = 35709.33MIN: 5700.271. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32Intel Core i9-7960X1428425670SE +/- 0.06, N = 363.97MIN: 63.351. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32Intel Core i9-7960X0.22950.4590.68850.9181.1475SE +/- 0.00, N = 31.02MIN: 1.011. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32Intel Core i9-7960X13002600390052006500SE +/- 10.76, N = 36050.58MIN: 6028.351. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32Intel Core i9-7960X20406080100SE +/- 0.09, N = 387.06MIN: 86.191. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32Intel Core i9-7960X0.22950.4590.68850.9181.1475SE +/- 0.00, N = 31.02MIN: 1.011. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32Intel Core i9-7960X12002400360048006000SE +/- 11.88, N = 35728.88MIN: 5697.91. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32Intel Core i9-7960X2K4K6K8K10KSE +/- 13.08, N = 310148.20MIN: 10084.11. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32Intel Core i9-7960X20406080100SE +/- 0.11, N = 388.81MIN: 88.131. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32Intel Core i9-7960X816243240SE +/- 0.01, N = 335.68MIN: 35.491. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

MKL-DNN

Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32Intel Core i9-7960X918273645SE +/- 0.02, N = 338.03MIN: 37.761. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

SVT-AV1

1080p 8-bit YUV To AV1 Video Encode

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.51080p 8-bit YUV To AV1 Video EncodeIntel Core i9-7960X1122334455SE +/- 0.14, N = 347.401. (CXX) g++ options: -O3 -pie -lpthread -lm

VP9 libvpx Encoding

vpxenc VP9 1080p Video Encode

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.0vpxenc VP9 1080p Video EncodeIntel Core i9-7960X50100150200250SE +/- 0.88, N = 3228.001. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgSeconds, Fewer Is Betterdav1d 0.3Video Input: Summer Nature 4KIntel Core i9-7960X510152025SE +/- 0.03, N = 320.081. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgSeconds, Fewer Is Betterdav1d 0.3Video Input: Summer Nature 1080pIntel Core i9-7960X246810SE +/- 0.01, N = 36.971. (CC) gcc options: -pthread

Tachyon

Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.98.9Total TimeIntel Core i9-7960X0.6571.3141.9712.6283.285SE +/- 0.01, N = 32.921. (CC) gcc options: -m32 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceIntel Core i9-7960X9001800270036004500SE +/- 3.48, N = 34411.101. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

MariaDB

Clients: 1

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.3.8Clients: 1Intel Core i9-7960X30060090012001500SE +/- 485.46, N = 613251. (CXX) g++ options: -pie -fPIC -fstack-protector -fno-rtti -O2 -lpthread -lz -lm -lpcre -lcrypt -lssl -lcrypto -ldl

MariaDB

Clients: 4

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.3.8Clients: 4Intel Core i9-7960X150300450600750SE +/- 5.01, N = 36971. (CXX) g++ options: -pie -fPIC -fstack-protector -fno-rtti -O2 -lpthread -lz -lm -lpcre -lcrypt -lssl -lcrypto -ldl

MariaDB

Clients: 8

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.3.8Clients: 8Intel Core i9-7960X150300450600750SE +/- 10.33, N = 37101. (CXX) g++ options: -pie -fPIC -fstack-protector -fno-rtti -O2 -lpthread -lz -lm -lpcre -lcrypt -lssl -lcrypto -ldl

MariaDB

Clients: 16

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.3.8Clients: 16Intel Core i9-7960X150300450600750SE +/- 8.75, N = 56971. (CXX) g++ options: -pie -fPIC -fstack-protector -fno-rtti -O2 -lpthread -lz -lm -lpcre -lcrypt -lssl -lcrypto -ldl

MariaDB

Clients: 32

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.3.8Clients: 32Intel Core i9-7960X2004006008001000SE +/- 194.44, N = 1011611. (CXX) g++ options: -pie -fPIC -fstack-protector -fno-rtti -O2 -lpthread -lz -lm -lpcre -lcrypt -lssl -lcrypto -ldl

MariaDB

Clients: 64

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.3.8Clients: 64Intel Core i9-7960X150300450600750SE +/- 47.41, N = 97091. (CXX) g++ options: -pie -fPIC -fstack-protector -fno-rtti -O2 -lpthread -lz -lm -lpcre -lcrypt -lssl -lcrypto -ldl

MariaDB

Clients: 128

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.3.8Clients: 128Intel Core i9-7960X80160240320400SE +/- 6.18, N = 33641. (CXX) g++ options: -pie -fPIC -fstack-protector -fno-rtti -O2 -lpthread -lz -lm -lpcre -lcrypt -lssl -lcrypto -ldl

MariaDB

Clients: 256

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.3.8Clients: 256Intel Core i9-7960X70140210280350SE +/- 2.93, N = 33111. (CXX) g++ options: -pie -fPIC -fstack-protector -fno-rtti -O2 -lpthread -lz -lm -lpcre -lcrypt -lssl -lcrypto -ldl

GIMP

Test: resize

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: resizeIntel Core i9-7960X3691215SE +/- 0.07, N = 39.14

GIMP

Test: rotate

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: rotateIntel Core i9-7960X48121620SE +/- 0.14, N = 914.24

GIMP

Test: auto-levels

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: auto-levelsIntel Core i9-7960X48121620SE +/- 0.11, N = 317.37

GIMP

Test: unsharp-mask

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: unsharp-maskIntel Core i9-7960X510152025SE +/- 0.03, N = 320.35

Apache Benchmark

Static Web Page Serving

OpenBenchmarking.orgRequests Per Second, More Is BetterApache Benchmark 2.4.29Static Web Page ServingIntel Core i9-7960X7K14K21K28K35KSE +/- 35.38, N = 332073.211. (CC) gcc options: -shared -fPIC -O2 -pthread

Apache Siege

Concurrent Users: 10

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 10Intel Core i9-7960X8K16K24K32K40KSE +/- 888.34, N = 1538976.051. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

Apache Siege

Concurrent Users: 50

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 50Intel Core i9-7960X7K14K21K28K35KSE +/- 99.77, N = 331480.171. (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: 100Intel Core i9-7960X8K16K24K32K40KSE +/- 422.98, N = 335291.921. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto

Apache Siege

Concurrent Users: 200

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 200Intel Core i9-7960X7K14K21K28K35KSE +/- 941.84, N = 1532736.941. (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: 250Intel Core i9-7960X7K14K21K28K35KSE +/- 854.48, N = 1532584.301. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto


Phoronix Test Suite v10.8.4