Core i9 7980XE Intel Core i9-7980XE testing with a ASUS PRIME X299-A (2002 BIOS) and Gigabyte AMD Radeon 540/540X/550/550X / RX 540X/550/550X 2GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2004174-NI-COREI979832 .
Core i9 7980XE Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Core i9 7980XE Intel Core i9-7980XE @ 4.20GHz (18 Cores / 36 Threads) ASUS PRIME X299-A (2002 BIOS) Intel Sky Lake-E DMI3 Registers 16GB Samsung SSD 970 EVO 500GB Gigabyte AMD Radeon 540/540X/550/550X / RX 540X/550/550X 2GB (1206/1750MHz) Realtek ALC1220 G237HL Intel I219-V Ubuntu 20.04 5.4.0-24-generic (x86_64) GNOME Shell 3.36.1 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.4 (LLVM 9.0.1) GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org - --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,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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2000064 - OpenJDK Runtime Environment (build 11.0.7-ea+9-post-Ubuntu-1ubuntu1) - + Python 3.8.2 - itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
Core i9 7980XE nwchem: C240 Buckyball mkl-dnn: IP Batch 1D - f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - u8s8f32 mkl-dnn: IP Batch All - u8s8f32 mkl-dnn: IP Batch 1D - bf16bf16bf16 mkl-dnn: IP Batch All - bf16bf16bf16 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32 mkl-dnn: Recurrent Neural Network Training - f32 mkl-dnn: Recurrent Neural Network Inference - f32 mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16 mkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16 embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj oidn: Memorial openvkl: vklBenchmark openvkl: vklBenchmarkVdbVolume openvkl: vklBenchmarkStructuredVolume openvkl: vklBenchmarkUnstructuredVolume yafaray: Total Time For Sample Scene gromacs: Water Benchmark cassandra: Reads cassandra: Writes cassandra: Mixed 1:1 cassandra: Mixed 1:3 git: Time To Complete Common Git Commands Core i9 7980XE 11780 2.16791 30.6806 0.853639 11.2745 5.46453 84.0577 1.71323 2.58539 1.03861 1.56458 127.431 24.0672 9.27723 10.9206 19.8658 22.3308 23.7278 22.0455 29.4954 26.0701 27.06 238.58 22761755.689394 63710004.243243 1944515.2124080 102.952 1.686 32203 164778 538 520 51.190 OpenBenchmarking.org
NWChem Input: C240 Buckyball OpenBenchmarking.org Seconds, Fewer Is Better NWChem 7.0 Input: C240 Buckyball Core i9 7980XE 3K 6K 9K 12K 15K 11780 1. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lcomex -lm -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
oneDNN MKL-DNN Harness: IP Batch 1D - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: f32 Core i9 7980XE 0.4878 0.9756 1.4634 1.9512 2.439 SE +/- 0.00620, N = 3 2.16791 MIN: 2.09 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: IP Batch All - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: f32 Core i9 7980XE 7 14 21 28 35 SE +/- 0.07, N = 3 30.68 MIN: 29.44 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: IP Batch 1D - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: u8s8f32 Core i9 7980XE 0.1921 0.3842 0.5763 0.7684 0.9605 SE +/- 0.000374, N = 3 0.853639 MIN: 0.84 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: IP Batch All - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: u8s8f32 Core i9 7980XE 3 6 9 12 15 SE +/- 0.00, N = 3 11.27 MIN: 11.08 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: IP Batch 1D - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: bf16bf16bf16 Core i9 7980XE 1.2295 2.459 3.6885 4.918 6.1475 SE +/- 0.00213, N = 3 5.46453 MIN: 5.38 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: IP Batch All - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: bf16bf16bf16 Core i9 7980XE 20 40 60 80 100 SE +/- 0.34, N = 3 84.06 MIN: 63.87 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: f32 Core i9 7980XE 0.3855 0.771 1.1565 1.542 1.9275 SE +/- 0.00194, N = 3 1.71323 MIN: 1.69 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: f32 Core i9 7980XE 0.5817 1.1634 1.7451 2.3268 2.9085 SE +/- 0.00362, N = 3 2.58539 MIN: 2.57 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 Core i9 7980XE 0.2337 0.4674 0.7011 0.9348 1.1685 SE +/- 0.00038, N = 3 1.03861 MIN: 1.02 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 Core i9 7980XE 0.352 0.704 1.056 1.408 1.76 SE +/- 0.00646, N = 3 1.56458 MIN: 1.54 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: Recurrent Neural Network Training - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Training - Data Type: f32 Core i9 7980XE 30 60 90 120 150 SE +/- 0.28, N = 3 127.43 MIN: 125.98 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: Recurrent Neural Network Inference - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Inference - Data Type: f32 Core i9 7980XE 6 12 18 24 30 SE +/- 0.19, N = 3 24.07 MIN: 23.06 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 Core i9 7980XE 3 6 9 12 15 SE +/- 0.00198, N = 3 9.27723 MIN: 9.22 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
oneDNN MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 Core i9 7980XE 3 6 9 12 15 SE +/- 0.00, N = 3 10.92 MIN: 10.83 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown Core i9 7980XE 5 10 15 20 25 SE +/- 0.06, N = 3 19.87 MIN: 19.62 / MAX: 20.11
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Core i9 7980XE 5 10 15 20 25 SE +/- 0.01, N = 3 22.33 MIN: 22.12 / MAX: 22.63
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Core i9 7980XE 6 12 18 24 30 SE +/- 0.27, N = 3 23.73 MIN: 23.12 / MAX: 24.22
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Core i9 7980XE 5 10 15 20 25 SE +/- 0.07, N = 3 22.05 MIN: 21.88 / MAX: 22.33
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Core i9 7980XE 7 14 21 28 35 SE +/- 0.35, N = 3 29.50 MIN: 28.84 / MAX: 30.42
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Core i9 7980XE 6 12 18 24 30 SE +/- 0.06, N = 3 26.07 MIN: 25.88 / MAX: 26.42
Intel Open Image Denoise Scene: Memorial OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial Core i9 7980XE 6 12 18 24 30 SE +/- 0.06, N = 3 27.06
OpenVKL Benchmark: vklBenchmark OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark Core i9 7980XE 50 100 150 200 250 SE +/- 1.13, N = 3 238.58 MIN: 1 / MAX: 1023
OpenVKL Benchmark: vklBenchmarkVdbVolume OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume Core i9 7980XE 5M 10M 15M 20M 25M SE +/- 105601.32, N = 3 22761755.69 MIN: 1051900 / MAX: 128446272
OpenVKL Benchmark: vklBenchmarkStructuredVolume OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume Core i9 7980XE 14M 28M 42M 56M 70M SE +/- 62068.30, N = 3 63710004.24 MIN: 1257007 / MAX: 495156096
OpenVKL Benchmark: vklBenchmarkUnstructuredVolume OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkUnstructuredVolume Core i9 7980XE 400K 800K 1200K 1600K 2000K SE +/- 3912.53, N = 3 1944515.21 MIN: 26450 / MAX: 6372262
YafaRay Total Time For Sample Scene OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene Core i9 7980XE 20 40 60 80 100 SE +/- 1.35, N = 15 102.95 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.1 Water Benchmark Core i9 7980XE 0.3794 0.7588 1.1382 1.5176 1.897 SE +/- 0.001, N = 3 1.686 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Apache Cassandra Test: Reads OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Reads Core i9 7980XE 7K 14K 21K 28K 35K SE +/- 11405.82, N = 9 32203
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes Core i9 7980XE 40K 80K 120K 160K 200K SE +/- 1246.75, N = 15 164778
Apache Cassandra Test: Mixed 1:1 OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Mixed 1:1 Core i9 7980XE 120 240 360 480 600 SE +/- 76.64, N = 9 538
Apache Cassandra Test: Mixed 1:3 OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Mixed 1:3 Core i9 7980XE 110 220 330 440 550 SE +/- 20.33, N = 9 520
Git Time To Complete Common Git Commands OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands Core i9 7980XE 12 24 36 48 60 SE +/- 0.08, N = 3 51.19 1. git version 2.25.1
Phoronix Test Suite v10.8.4