MKL-DNN GCC 9 Cascadelake Compiler Tuning

2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED Family on Ubuntu 18.04 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 1904200-HV-MKLDNNGCC43
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-O3 -march=skylake-avx512
April 19 2019
  4 Hours, 14 Minutes
-O3 -march=cascadelake
April 19 2019
  5 Hours, 33 Minutes
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  4 Hours, 53 Minutes
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-O3 -march=skylake-avx512

Environment Notes: CXXFLAGS=-O3-march=skylake-avx512 CFLAGS=-O3-march=skylake-avx512
Compiler Notes: --disable-multilib --enable-checking=release
Processor Notes: Scaling Governor: intel_pstate powersave
Security Notes: __user pointer sanitization + Enhanced IBRS IBPB: conditional RSB filling + SSB disabled via prctl and seccomp

-O3 -march=cascadelake

Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 386048MB, Disk: Samsung SSD 970 PRO 512GB, Graphics: ASPEED Family, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

OS: Ubuntu 18.04, Kernel: 5.1.0-999-generic (x86_64) 20190416, Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, Compiler: GCC 9.0.1 20190414, File-System: ext4, Screen Resolution: 1920x1080

Environment Notes: CXXFLAGS=-O3-march=cascadelake CFLAGS=-O3-march=cascadelake
Compiler Notes: --disable-multilib --enable-checking=release
Processor Notes: Scaling Governor: intel_pstate powersave
Security Notes: __user pointer sanitization + Enhanced IBRS IBPB: conditional RSB filling + SSB disabled via prctl and seccomp

MKL-DNN GCC 9 Cascadelake Compiler TuningOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers386048MBSamsung SSD 970 PRO 512GBASPEED FamilyVE2282 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbEUbuntu 18.045.1.0-999-generic (x86_64) 20190416GNOME Shell 3.28.3X Server 1.20.1modesetting 1.20.1GCC 9.0.1 20190414ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionMKL-DNN GCC 9 Cascadelake Compiler Tuning BenchmarksSystem Logs- -O3 -march=skylake-avx512: CXXFLAGS=-O3-march=skylake-avx512 CFLAGS=-O3-march=skylake-avx512 - -O3 -march=cascadelake: CXXFLAGS=-O3-march=cascadelake CFLAGS=-O3-march=cascadelake- --disable-multilib --enable-checking=release- Scaling Governor: intel_pstate powersave- __user pointer sanitization + Enhanced IBRS IBPB: conditional RSB filling + SSB disabled via prctl and seccomp

MKL-DNN GCC 9 Cascadelake Compiler Tuningmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8u8s32mkl-dnn: IP Batch All - u8s8u8s32mkl-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_all - u8s8u8s32mkl-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_all - u8s8u8s32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake17.552494.5972.4985.671321823.7727.41175610271125838595817275.407973545212645617717.442494.5872.3885.401321523.5327.77175310257128646594547275.4179948453126386177OpenBenchmarking.org

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake48121620SE +/- 0.06, N = 3SE +/- 0.03, N = 317.5517.44MIN: 16.94-march=cascadelake - MIN: 16.921. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake48121620Min: 17.45 / Avg: 17.55 / Max: 17.64Min: 17.4 / Avg: 17.44 / Max: 17.511. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake50100150200250SE +/- 0.17, N = 3SE +/- 0.10, N = 3249249MIN: 245.97-march=cascadelake - MIN: 245.951. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake50100150200250Min: 248.85 / Avg: 249.19 / Max: 249.4Min: 248.9 / Avg: 249.1 / Max: 249.221. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake1.03282.06563.09844.13125.164SE +/- 0.00, N = 3SE +/- 0.00, N = 34.594.58MIN: 4.22-march=cascadelake - MIN: 4.191. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake246810Min: 4.59 / Avg: 4.59 / Max: 4.59Min: 4.58 / Avg: 4.58 / Max: 4.591. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake1632486480SE +/- 0.13, N = 3SE +/- 0.02, N = 372.4972.38MIN: 70.54-march=cascadelake - MIN: 70.761. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake1428425670Min: 72.28 / Avg: 72.49 / Max: 72.72Min: 72.35 / Avg: 72.38 / Max: 72.411. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake20406080100SE +/- 0.20, N = 3SE +/- 0.22, N = 385.6785.40MIN: 83.5-march=cascadelake - MIN: 83.331. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake1632486480Min: 85.34 / Avg: 85.67 / Max: 86.03Min: 85.17 / Avg: 85.4 / Max: 85.841. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake3K6K9K12K15KSE +/- 5.34, N = 3SE +/- 8.35, N = 31321813215MIN: 13095.4-march=cascadelake - MIN: 13089.51. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake2K4K6K8K10KMin: 13207.2 / Avg: 13217.67 / Max: 13224.7Min: 13199.6 / Avg: 13214.8 / Max: 13228.41. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake612182430SE +/- 0.38, N = 3SE +/- 0.27, N = 623.7723.53MIN: 22.94-march=cascadelake - MIN: 22.831. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake612182430Min: 23.1 / Avg: 23.77 / Max: 24.42Min: 23.02 / Avg: 23.53 / Max: 24.761. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake714212835SE +/- 0.06, N = 3SE +/- 0.08, N = 327.4127.77MIN: 26.68-march=cascadelake - MIN: 271. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake612182430Min: 27.33 / Avg: 27.41 / Max: 27.54Min: 27.65 / Avg: 27.77 / Max: 27.921. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake400800120016002000SE +/- 0.82, N = 3SE +/- 1.65, N = 317561753MIN: 1740.28-march=cascadelake - MIN: 1737.111. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake30060090012001500Min: 1754.5 / Avg: 1755.96 / Max: 1757.32Min: 1750.86 / Avg: 1753.02 / Max: 1756.261. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake2K4K6K8K10KSE +/- 4.71, N = 3SE +/- 2.13, N = 31027110257MIN: 10175.5-march=cascadelake - MIN: 10166.61. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake2K4K6K8K10KMin: 10261.8 / Avg: 10271.2 / Max: 10276.3Min: 10253.3 / Avg: 10256.67 / Max: 10260.61. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake30K60K90K120K150KSE +/- 1214.69, N = 3SE +/- 1664.64, N = 9125838128646MIN: 124475-march=cascadelake - MIN: 1244051. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake20K40K60K80K100KMin: 124514 / Avg: 125838 / Max: 128264Min: 124440 / Avg: 128646 / Max: 1413271. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake13K26K39K52K65KSE +/- 321.79, N = 3SE +/- 265.15, N = 35958159454MIN: 59174-march=cascadelake - MIN: 591151. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake10K20K30K40K50KMin: 59203.3 / Avg: 59580.63 / Max: 60220.8Min: 59140.5 / Avg: 59453.7 / Max: 59980.91. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake160320480640800SE +/- 0.66, N = 3SE +/- 0.39, N = 3727727MIN: 717.67-march=cascadelake - MIN: 717.661. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32-O3 -march=skylake-avx512-O3 -march=cascadelake130260390520650Min: 725.9 / Avg: 727.01 / Max: 728.17Min: 725.86 / Avg: 726.56 / Max: 727.211. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake1.21732.43463.65194.86926.0865SE +/- 0.01, N = 3SE +/- 0.01, N = 35.405.41MIN: 5.32-march=cascadelake - MIN: 5.321. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake246810Min: 5.39 / Avg: 5.4 / Max: 5.41Min: 5.39 / Avg: 5.41 / Max: 5.411. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake20K40K60K80K100KSE +/- 76.36, N = 3SE +/- 139.78, N = 37973579948MIN: 79643-march=cascadelake - MIN: 79663.41. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake14K28K42K56K70KMin: 79647.6 / Avg: 79734.6 / Max: 79886.8Min: 79682.4 / Avg: 79947.7 / Max: 80156.71. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake100200300400500SE +/- 0.13, N = 3SE +/- 0.33, N = 3452453MIN: 444.46-march=cascadelake - MIN: 444.071. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake80160240320400Min: 451.81 / Avg: 451.97 / Max: 452.22Min: 452.06 / Avg: 452.61 / Max: 453.211. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake30K60K90K120K150KSE +/- 186.57, N = 3SE +/- 134.27, N = 3126456126386MIN: 126023-march=cascadelake - MIN: 1260691. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake20K40K60K80K100KMin: 126094 / Avg: 126455.67 / Max: 126716Min: 126119 / Avg: 126386.33 / Max: 1265421. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake4080120160200SE +/- 0.11, N = 3SE +/- 0.10, N = 3177177MIN: 175.69-march=cascadelake - MIN: 175.831. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl
OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32-O3 -march=skylake-avx512-O3 -march=cascadelake306090120150Min: 176.65 / Avg: 176.85 / Max: 177.03Min: 176.77 / Avg: 176.98 / Max: 177.11. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

-O3 -march=skylake-avx512

Environment Notes: CXXFLAGS=-O3-march=skylake-avx512 CFLAGS=-O3-march=skylake-avx512
Compiler Notes: --disable-multilib --enable-checking=release
Processor Notes: Scaling Governor: intel_pstate powersave
Security Notes: __user pointer sanitization + Enhanced IBRS IBPB: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 19 April 2019 11:26 by user phoronix.

-O3 -march=cascadelake

Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 386048MB, Disk: Samsung SSD 970 PRO 512GB, Graphics: ASPEED Family, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

OS: Ubuntu 18.04, Kernel: 5.1.0-999-generic (x86_64) 20190416, Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, Compiler: GCC 9.0.1 20190414, File-System: ext4, Screen Resolution: 1920x1080

Environment Notes: CXXFLAGS=-O3-march=cascadelake CFLAGS=-O3-march=cascadelake
Compiler Notes: --disable-multilib --enable-checking=release
Processor Notes: Scaling Governor: intel_pstate powersave
Security Notes: __user pointer sanitization + Enhanced IBRS IBPB: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 19 April 2019 16:20 by user phoronix.