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
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.
,,"a","b","c"
Processor,,Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads),Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads),Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads)
Motherboard,,MSI MS-14C6 (E14C6IMS.115 BIOS),MSI MS-14C6 (E14C6IMS.115 BIOS),MSI MS-14C6 (E14C6IMS.115 BIOS)
Chipset,,Intel Alder Lake PCH,Intel Alder Lake PCH,Intel Alder Lake PCH
Memory,,16GB,16GB,16GB
Disk,,1024GB Micron_3400_MTFDKBA1T0TFH,1024GB Micron_3400_MTFDKBA1T0TFH,1024GB Micron_3400_MTFDKBA1T0TFH
Graphics,,MSI Intel ADL GT2 15GB (1450MHz),MSI Intel ADL GT2 15GB (1450MHz),MSI Intel ADL GT2 15GB (1450MHz)
Audio,,Realtek ALC274,Realtek ALC274,Realtek ALC274
Network,,Intel Alder Lake-P PCH CNVi WiFi,Intel Alder Lake-P PCH CNVi WiFi,Intel Alder Lake-P PCH CNVi WiFi
OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.3.0-7-generic (x86_64),6.3.0-7-generic (x86_64),6.3.0-7-generic (x86_64)
Desktop,,GNOME Shell,GNOME Shell,GNOME Shell
Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 23.1.7-1ubuntu1,4.6 Mesa 23.1.7-1ubuntu1,4.6 Mesa 23.1.7-1ubuntu1
OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0
Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
,,"a","b","c"
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,11.4574,9.14804,7.77802
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.63896,6.98825,5.85137
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.27679,3.14049,2.49493
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,10.322,9.919,9.803
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.71431,3.08209,2.25098
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,8.7545,8.83358,8.7665
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,10.0504,10.2538,10.9467
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.79179,7.84281,8.28649
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.7283,2.57218,3.01476
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.66772,3.68241,3.68788
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,555.281,593.051,605.183
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,215.08,240.097,255.601
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,9.5105,9.5598,9.55125
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,8810.16,9201,9513.2
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4847.73,5161.73,5159.09
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9189.71,9853.7,9946.69
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4517.55,4625.9,4623.65
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9056.79,10044.6,9116.27
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4772.43,5236.44,4733.46
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,7.5237,5.8001,4.9874
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,7.7035,5.8382,5.304
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,9.4849,7.3744,6.2796
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,8.5685,6.5378,5.6884
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,10.182,7.8561,7.1952
"Embree - Binary: Pathtracer oneAPI SYCL - Model: Crown (FPS)",HIB,,,
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,8.8968,6.8812,6.8098
"Embree - Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon (FPS)",HIB,,,
"Embree - Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon Obj (FPS)",HIB,,,
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.22,0.18,0.19
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.21,0.17,0.17
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.10,0.08,0.08
"OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,161,132,131
"OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,74,57,58
"OpenVKL - Benchmark: vklBenchmarkGPU Intel oneAPI SYCL (Items / Sec)",HIB,137,139,145
"FluidX3D - Test: FP32-FP32 (MLUPs/s)",HIB,369,365,368
"FluidX3D - Test: FP32-FP16C (MLUPs/s)",HIB,609,616,618
"FluidX3D - Test: FP32-FP16S (MLUPs/s)",HIB,646,649,644