Core i9 10980XE Cascade Lake X Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 20.04 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 2004109-NI-COREI910936 Intel Core i9-10980XE Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 20.04, Kernel: 5.4.0-21-generic (x86_64), Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.3 Mesa 20.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500012cPython Notes: + Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled
Core i9 10980XE Cascade Lake X OpenBenchmarking.org Phoronix Test Suite Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads) ASRock X299 Steel Legend (P1.30 BIOS) Intel Sky Lake-E DMI3 Registers 32GB Samsung SSD 970 PRO 512GB NVIDIA NV132 11GB Realtek ALC1220 ASUS MG28U Intel I219-V + Intel I211 Ubuntu 20.04 5.4.0-21-generic (x86_64) GNOME Shell 3.36.0 X Server 1.20.7 modesetting 1.20.7 4.3 Mesa 20.0.2 GCC 9.3.0 ext4 3840x2160 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Core I9 10980XE Cascade Lake X Benchmarks System Logs - --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: 0x500012c - + Python 3.8.2 - itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled
Core i9 10980XE Cascade Lake X 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 Intel Core i9-10980XE 2.24367 32.7894 0.520161 7.35444 5.52121 68.9655 1.73505 2.62951 0.466501 0.672785 132.742 24.4562 9.06529 10.8552 19.7329 21.5185 23.0209 21.1868 27.5112 24.3452 25.30 265.58 23393309.507576 72263352.423423 2067455.4500526 98.626 OpenBenchmarking.org
oneDNN MKL-DNN This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) as an Intel-optimized 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.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: f32 Intel Core i9-10980XE 0.5048 1.0096 1.5144 2.0192 2.524 SE +/- 0.00775, N = 3 2.24367 MIN: 2.15 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: f32 Intel Core i9-10980XE 8 16 24 32 40 SE +/- 0.07, N = 3 32.79 MIN: 31.16 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: u8s8f32 Intel Core i9-10980XE 0.117 0.234 0.351 0.468 0.585 SE +/- 0.002655, N = 3 0.520161 MIN: 0.5 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: u8s8f32 Intel Core i9-10980XE 2 4 6 8 10 SE +/- 0.00971, N = 3 7.35444 MIN: 7.1 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: bf16bf16bf16 Intel Core i9-10980XE 1.2423 2.4846 3.7269 4.9692 6.2115 SE +/- 0.02427, N = 3 5.52121 MIN: 5.38 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: bf16bf16bf16 Intel Core i9-10980XE 15 30 45 60 75 SE +/- 0.01, N = 3 68.97 MIN: 65.94 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: f32 Intel Core i9-10980XE 0.3904 0.7808 1.1712 1.5616 1.952 SE +/- 0.00428, N = 3 1.73505 MIN: 1.71 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: f32 Intel Core i9-10980XE 0.5916 1.1832 1.7748 2.3664 2.958 SE +/- 0.01007, N = 3 2.62951 MIN: 2.59 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 Intel Core i9-10980XE 0.105 0.21 0.315 0.42 0.525 SE +/- 0.002005, N = 3 0.466501 MIN: 0.45 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 Intel Core i9-10980XE 0.1514 0.3028 0.4542 0.6056 0.757 SE +/- 0.007900, N = 6 0.672785 MIN: 0.64 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Training - Data Type: f32 Intel Core i9-10980XE 30 60 90 120 150 SE +/- 0.34, N = 3 132.74 MIN: 131.07 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Inference - Data Type: f32 Intel Core i9-10980XE 6 12 18 24 30 SE +/- 0.06, N = 3 24.46 MIN: 23.81 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 Intel Core i9-10980XE 3 6 9 12 15 SE +/- 0.00684, N = 3 9.06529 MIN: 8.98 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 Intel Core i9-10980XE 3 6 9 12 15 SE +/- 0.03, N = 3 10.86 MIN: 10.69 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Intel Core i9-10980XE 5 10 15 20 25 SE +/- 0.03, N = 3 21.52 MIN: 21.3 / MAX: 21.8
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Intel Core i9-10980XE 6 12 18 24 30 SE +/- 0.20, N = 3 23.02 MIN: 22.6 / MAX: 23.54
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Intel Core i9-10980XE 5 10 15 20 25 SE +/- 0.02, N = 3 21.19 MIN: 21.08 / MAX: 21.39
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Intel Core i9-10980XE 6 12 18 24 30 SE +/- 0.11, N = 3 27.51 MIN: 27.19 / MAX: 27.96
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Intel Core i9-10980XE 6 12 18 24 30 SE +/- 0.04, N = 3 24.35 MIN: 24.19 / MAX: 24.62
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume Intel Core i9-10980XE 5M 10M 15M 20M 25M SE +/- 61427.44, N = 3 23393309.51 MIN: 1007748 / MAX: 127115496
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume Intel Core i9-10980XE 15M 30M 45M 60M 75M SE +/- 328294.49, N = 3 72263352.42 MIN: 1128497 / MAX: 596064240
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkUnstructuredVolume Intel Core i9-10980XE 400K 800K 1200K 1600K 2000K SE +/- 4506.37, N = 3 2067455.45 MIN: 22919 / MAX: 6845002
Intel Core i9-10980XE Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 20.04, Kernel: 5.4.0-21-generic (x86_64), Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.3 Mesa 20.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500012cPython Notes: + Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 10 April 2020 09:53 by user phoronix.