Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Ubuntu 23.10 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 2310187-NE-DDDS2145567 ddds - Phoronix Test Suite ddds Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310187-NE-DDDS2145567&grr&sor .
ddds Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL OpenCL Compiler File-System Screen Resolution a b c Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads) MSI MS-14C6 (E14C6IMS.115 BIOS) Intel Alder Lake PCH 16GB 1024GB Micron_3400_MTFDKBA1T0TFH MSI Intel ADL GT2 15GB (1450MHz) Realtek ALC274 Intel Alder Lake-P PCH CNVi WiFi Ubuntu 23.10 6.3.0-7-generic (x86_64) GNOME Shell X Server + Wayland 4.6 Mesa 23.1.7-1ubuntu1 OpenCL 3.0 GCC 13.2.0 ext4 1920x1080 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-nEN1TP/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-nEN1TP/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x42c - Thermald 2.5.4 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
ddds openvkl: vklBenchmarkCPU ISPC openvkl: vklBenchmarkGPU Intel oneAPI SYCL openvkl: vklBenchmarkCPU Scalar easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 fluidx3d: FP32-FP32 oidn: RTLightmap.hdr.4096x4096 - CPU-Only fluidx3d: FP32-FP16C fluidx3d: FP32-FP16S easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon Obj onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - f32 - CPU embree: Pathtracer ISPC - Asian Dragon Obj embree: Pathtracer - Asian Dragon onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU embree: Pathtracer ISPC - Asian Dragon onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU easywave: e2Asean Grid + BengkuluSept2007 Source - 240 onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU a b c 161 137 74 555.281 369 0.10 609 646 215.08 0.21 0.22 7.5237 7.7035 8.5685 9189.71 9056.79 8810.16 8.8968 9.4849 4847.73 4772.43 4517.55 10.182 10.0504 2.7283 11.4574 2.27679 10.322 5.63896 1.71431 7.79179 8.7545 9.5105 3.66772 132 139 57 593.051 365 0.08 616 649 240.097 0.17 0.18 5.8001 5.8382 6.5378 9853.7 10044.6 9201 6.8812 7.3744 5161.73 5236.44 4625.9 7.8561 10.2538 2.57218 9.14804 3.14049 9.919 6.98825 3.08209 7.84281 8.83358 9.5598 3.68241 131 145 58 605.183 368 0.08 618 644 255.601 0.17 0.19 4.9874 5.304 5.6884 9946.69 9116.27 9513.2 6.8098 6.2796 5159.09 4733.46 4623.65 7.1952 10.9467 3.01476 7.77802 2.49493 9.803 5.85137 2.25098 8.28649 8.7665 9.55125 3.68788 OpenBenchmarking.org
OpenVKL Benchmark: vklBenchmarkCPU ISPC OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC a b c 40 80 120 160 200 161 132 131 MIN: 11 / MAX: 2260 MIN: 8 / MAX: 1862 MIN: 8 / MAX: 1855
OpenVKL Benchmark: vklBenchmarkGPU Intel oneAPI SYCL OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkGPU Intel oneAPI SYCL c b a 30 60 90 120 150 145 139 137 MIN: 1 / MAX: 5589 MIN: 1 / MAX: 5263 MIN: 1 / MAX: 5867
OpenVKL Benchmark: vklBenchmarkCPU Scalar OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar a c b 16 32 48 64 80 74 58 57 MIN: 5 / MAX: 1304 MIN: 4 / MAX: 1064 MIN: 4 / MAX: 1044
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 a b c 130 260 390 520 650 555.28 593.05 605.18 1. (CXX) g++ options: -O3 -fopenmp
FluidX3D Test: FP32-FP32 OpenBenchmarking.org MLUPs/s, More Is Better FluidX3D 2.9 Test: FP32-FP32 a c b 80 160 240 320 400 369 368 365
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only a c b 0.0225 0.045 0.0675 0.09 0.1125 0.10 0.08 0.08
FluidX3D Test: FP32-FP16C OpenBenchmarking.org MLUPs/s, More Is Better FluidX3D 2.9 Test: FP32-FP16C c b a 130 260 390 520 650 618 616 609
FluidX3D Test: FP32-FP16S OpenBenchmarking.org MLUPs/s, More Is Better FluidX3D 2.9 Test: FP32-FP16S b a c 140 280 420 560 700 649 646 644
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 a b c 60 120 180 240 300 215.08 240.10 255.60 1. (CXX) g++ options: -O3 -fopenmp
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only a c b 0.0473 0.0946 0.1419 0.1892 0.2365 0.21 0.17 0.17
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only a c b 0.0495 0.099 0.1485 0.198 0.2475 0.22 0.19 0.18
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Crown a b c 2 4 6 8 10 7.5237 5.8001 4.9874 MIN: 7.19 / MAX: 10.5 MIN: 5.61 / MAX: 10.44 MIN: 4.87 / MAX: 10.42
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Crown a b c 2 4 6 8 10 7.7035 5.8382 5.3040 MIN: 7.39 / MAX: 10.79 MIN: 5.65 / MAX: 10.63 MIN: 5.19 / MAX: 7.1
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj a b c 2 4 6 8 10 8.5685 6.5378 5.6884 MIN: 8.24 / MAX: 11.63 MIN: 6.45 / MAX: 7.88 MIN: 5.61 / MAX: 5.77
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU a b c 2K 4K 6K 8K 10K 9189.71 9853.70 9946.69 MIN: 8912.94 MIN: 9658.57 MIN: 9715.98 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU a c b 2K 4K 6K 8K 10K 9056.79 9116.27 10044.60 MIN: 8880.02 MIN: 8924.49 MIN: 9728.53 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU a b c 2K 4K 6K 8K 10K 8810.16 9201.00 9513.20 MIN: 8604.63 MIN: 8796.3 MIN: 9231.4 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj a b c 2 4 6 8 10 8.8968 6.8812 6.8098 MIN: 8.47 / MAX: 11.92 MIN: 6.52 / MAX: 11.81 MIN: 6.54 / MAX: 11.9
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer - Model: Asian Dragon a b c 3 6 9 12 15 9.4849 7.3744 6.2796 MIN: 9.06 / MAX: 12.83 MIN: 7.09 / MAX: 12.73 MIN: 6.14 / MAX: 12.66
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU a c b 1100 2200 3300 4400 5500 4847.73 5159.09 5161.73 MIN: 4646.81 MIN: 4935.51 MIN: 4954.49 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU c a b 1100 2200 3300 4400 5500 4733.46 4772.43 5236.44 MIN: 4556.25 MIN: 4570.93 MIN: 5033.54 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU a c b 1000 2000 3000 4000 5000 4517.55 4623.65 4625.90 MIN: 4343.84 MIN: 4461.7 MIN: 4438.23 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon a b c 3 6 9 12 15 10.1820 7.8561 7.1952 MIN: 9.65 / MAX: 13.61 MIN: 7.45 / MAX: 13.59 MIN: 6.95 / MAX: 13.62
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU a b c 3 6 9 12 15 10.05 10.25 10.95 MIN: 6.08 MIN: 6.02 MIN: 6.04 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU b a c 0.6783 1.3566 2.0349 2.7132 3.3915 2.57218 2.72830 3.01476 MIN: 2.25 MIN: 2.22 MIN: 2.29 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU c b a 3 6 9 12 15 7.77802 9.14804 11.45740 MIN: 4.42 MIN: 4.54 MIN: 4.49 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU a c b 0.7066 1.4132 2.1198 2.8264 3.533 2.27679 2.49493 3.14049 MIN: 1.7 MIN: 1.7 MIN: 1.82 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
easyWave Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 OpenBenchmarking.org Seconds, Fewer Is Better easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 c b a 3 6 9 12 15 9.803 9.919 10.322 1. (CXX) g++ options: -O3 -fopenmp
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU a c b 2 4 6 8 10 5.63896 5.85137 6.98825 MIN: 5.04 MIN: 5.05 MIN: 5.08 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU a c b 0.6935 1.387 2.0805 2.774 3.4675 1.71431 2.25098 3.08209 MIN: 1.43 MIN: 1.44 MIN: 1.45 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU a b c 2 4 6 8 10 7.79179 7.84281 8.28649 MIN: 7.19 MIN: 7.26 MIN: 7.22 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU a c b 2 4 6 8 10 8.75450 8.76650 8.83358 MIN: 7.93 MIN: 7.99 MIN: 8.02 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU a c b 3 6 9 12 15 9.51050 9.55125 9.55980 MIN: 8.58 MIN: 8.67 MIN: 8.72 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU a b c 0.8298 1.6596 2.4894 3.3192 4.149 3.66772 3.68241 3.68788 MIN: 3.23 MIN: 3.24 MIN: 3.23 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Phoronix Test Suite v10.8.4