Cascade MKL DNN

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 1904181-HV-CASCADEMK90
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
skylake-avx512
April 17 2019
  2 Hours, 19 Minutes
cascadelake
April 17 2019
  1 Hour, 55 Minutes
Invert Hiding All Results Option
  2 Hours, 7 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Cascade MKL DNNOpenBenchmarking.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 ResolutionCascade MKL DNN BenchmarksSystem Logs- skylake-avx512: CXXFLAGS=-O3-march=skylake-avx512 CFLAGS=-O3-march=skylake-avx512- 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

skylake-avx512 vs. cascadelake ComparisonPhoronix Test SuiteBaseline+3.6%+3.6%+7.2%+7.2%+10.8%+10.8%14.2%9.7%7.8%6.1%C.B.c - f32D.B.d - f32D.B.d - f32C.B.c - f32MKL-DNNMKL-DNNMKL-DNNMKL-DNNskylake-avx512cascadelake

Cascade MKL DNNmkl-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: Deconvolution Batch deconv_1d - u8s8u8s32mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32skylake-avx512cascadelake4.993931.362.5055.358364.483891.3156.084.373901.242.3252.168264.453911.3255.11OpenBenchmarking.org

MKL-DNN

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f32skylake-avx512cascadelake1.12282.24563.36844.49125.614SE +/- 0.06, N = 3SE +/- 0.08, N = 154.994.37MIN: 4.22-march=cascadelake - MIN: 3.741. (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: f32skylake-avx512cascadelake246810Min: 4.88 / Avg: 4.99 / Max: 5.08Min: 3.98 / Avg: 4.37 / Max: 4.961. (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: f32skylake-avx512cascadelake90180270360450SE +/- 2.13, N = 3SE +/- 0.65, N = 3393390MIN: 382.18-march=cascadelake - MIN: 382.161. (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: f32skylake-avx512cascadelake70140210280350Min: 389.1 / Avg: 392.59 / Max: 396.44Min: 388.88 / Avg: 389.97 / Max: 391.131. (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: f32skylake-avx512cascadelake0.3060.6120.9181.2241.53SE +/- 0.05, N = 15SE +/- 0.03, N = 151.361.24MIN: 1.03-march=cascadelake - MIN: 11. (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: f32skylake-avx512cascadelake246810Min: 1.12 / Avg: 1.36 / Max: 1.82Min: 1.13 / Avg: 1.24 / Max: 1.521. (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: f32skylake-avx512cascadelake0.56251.1251.68752.252.8125SE +/- 0.12, N = 12SE +/- 0.14, N = 152.502.32MIN: 1.13-march=cascadelake - MIN: 1.121. (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: f32skylake-avx512cascadelake246810Min: 1.81 / Avg: 2.5 / Max: 3.02Min: 1.49 / Avg: 2.32 / Max: 3.261. (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: Convolution Batch conv_alexnet - Data Type: f32skylake-avx512cascadelake1224364860SE +/- 0.97, N = 12SE +/- 0.51, N = 355.3552.16MIN: 48.37-march=cascadelake - MIN: 48.311. (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: f32skylake-avx512cascadelake1122334455Min: 50.22 / Avg: 55.35 / Max: 61.88Min: 51.16 / Avg: 52.16 / Max: 52.841. (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: Deconvolution Batch deconv_all - Data Type: f32skylake-avx512cascadelake2004006008001000SE +/- 8.63, N = 8SE +/- 1.54, N = 3836826MIN: 810.11-march=cascadelake - MIN: 812.241. (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: f32skylake-avx512cascadelake150300450600750Min: 819.76 / Avg: 835.86 / Max: 885.49Min: 823.97 / Avg: 825.67 / Max: 828.751. (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: u8s8u8s32skylake-avx512cascadelake1.0082.0163.0244.0325.04SE +/- 0.07, N = 15SE +/- 0.07, N = 154.484.45MIN: 3.62-march=cascadelake - MIN: 3.781. (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: u8s8u8s32skylake-avx512cascadelake246810Min: 4.08 / Avg: 4.48 / Max: 5.03Min: 4.07 / Avg: 4.45 / Max: 4.851. (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: u8s8u8s32skylake-avx512cascadelake80160240320400SE +/- 0.28, N = 3SE +/- 1.39, N = 3389391MIN: 382.25-march=cascadelake - MIN: 382.281. (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: u8s8u8s32skylake-avx512cascadelake70140210280350Min: 388.85 / Avg: 389.26 / Max: 389.79Min: 388.34 / Avg: 390.8 / Max: 393.151. (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: u8s8u8s32skylake-avx512cascadelake0.2970.5940.8911.1881.485SE +/- 0.04, N = 15SE +/- 0.04, N = 151.311.32MIN: 1.02-march=cascadelake - MIN: 0.991. (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: u8s8u8s32skylake-avx512cascadelake246810Min: 1.18 / Avg: 1.31 / Max: 1.55Min: 1.1 / Avg: 1.32 / Max: 1.681. (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: u8s8u8s32skylake-avx512cascadelake1326395265SE +/- 1.06, N = 13SE +/- 0.79, N = 1556.0855.11MIN: 48.29-march=cascadelake - MIN: 48.131. (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: u8s8u8s32skylake-avx512cascadelake1122334455Min: 49.7 / Avg: 56.08 / Max: 61.05Min: 50.67 / Avg: 55.11 / Max: 61.081. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl