aug

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.

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November 05 2023
  2 Hours, 43 Minutes
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November 05 2023
  2 Hours, 41 Minutes
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aug Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite. ,,"a","b" Processor,,Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads) Motherboard,,ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS) Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers Memory,,32GB,32GB Disk,,Samsung SSD 970 PRO 512GB,Samsung SSD 970 PRO 512GB Graphics,,llvmpipe,llvmpipe Audio,,Realtek ALC1220,Realtek ALC1220 Network,,Intel I219-V + Intel I211,Intel I219-V + Intel I211 OS,,Ubuntu 22.04,Ubuntu 22.04 Kernel,,6.2.0-33-generic (x86_64),6.2.0-33-generic (x86_64) Desktop,,GNOME Shell 42.2,GNOME Shell 42.2 Display Server,,X Server 1.21.1.3,X Server 1.21.1.3 OpenGL,,4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits),4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits) Vulkan,,1.2.204,1.2.204 Compiler,,GCC 11.4.0,GCC 11.4.0 File-System,,ext4,ext4 Screen Resolution,,1024x768,1024x768 ,,"a","b" "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,44641,44888.6 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,2682,2684.2 "CloverLeaf - Input: clover_bm (sec)",LIB,88.76,88.75 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,212.72,211.67 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.49348,2.49628 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.38829,5.25114 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.618773,0.578244 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.20555,1.24078 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.49542,5.54192 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.91534,2.85512 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.87746,9.88829 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,6.9011,6.86291 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.70456,2.69575 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.0344,9.05479 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.525652,0.525029 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.633996,0.643669 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,16.3164,15.8081 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1722.09,1677.89 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,20.9461,21.5749 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,8.82564,8.9321 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,10.3095,10.2769 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,35.6982,36.1147 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,9.01432,9.1424 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,55.0703,54.9198 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,31.0169,31.6018 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,16.7333,16.863 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,19.8916,20.059 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,26.2733,25.6418 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,941.957,898.306 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,18.8937,18.7258 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1615.72,1625.41 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7.85872,7.86557 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,11.0649,11.0229 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,11.3386,11.1414 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,906.092,908.247 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1650.24,1632.03 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,897.021,919.84 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,207.533,207.714 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,8.422,8.418 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,6.77,6.74 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1758.87,1768.54 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,26.48,26.21 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,453.11,457.7 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,26.51,26.25 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,452.46,457 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,140.54,142.3 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,85.3,84.25 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,26.96,26.97 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,444.06,444.29 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,759.1,765.16 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,15.78,15.65 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,58.37,58.28 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,205.41,205.72 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,756.48,758.98 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,15.82,15.77 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,766.69,763.83 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,23.43,23.52 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,3190.1,3192.8 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.59,5.59 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,232.23,229.51 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,51.6,52.23 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,78.93,78.36 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,151.95,152.93 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,2725.1,2734.29 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,6.58,6.57 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,322.01,322.81 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,37.23,37.14 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,171.99,174.6 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,104.57,103.02 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,18225.98,18196.6 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.97,0.97 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,208.24,150.46 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,86.37,119.54 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,35356.18,35584.44 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.48,0.48 "QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,20.61,19.31 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,219.65,222.42 "QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,106.57,106.32 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,42.511,42.48 "QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,238,241.13 "QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,183.42,183.17 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,422.16,422.06 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,182.09,182.84 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,5431.94,5428.44 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,2421.85,2421.09 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,103360,103360 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,1603.79,1596.74 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,23470,23190 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,7629.51,7651.61 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,9720.14,9722.17 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,37850,37850 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,53370,53490 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,20.2696,20.16 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,17.7179,17.6515 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,22.9979,23.1394 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,20.7169,20.6897 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,22.8478,22.8438 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,19.6108,19.6293 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.88,0.88 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.88,0.88 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.42,0.41 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,411,411 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,157,157 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6468,6463 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6625,6606 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7813,7854 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,110942,110960 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,214480,214262 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,113740,114336 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,218906,218882 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,132846,132304 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,257612,257164 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1636,1630 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1667,1667 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1968,1972 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,33567,33453 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,59518,59525 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,34183,34063 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,60718,60600 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,38826,38857 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,70355,70459 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,413.862,413.585 "C-Blosc - Test: blosclz shuffle - Buffer Size: 8MB (MB/s)",HIB,7438.3,6824.9 "C-Blosc - Test: blosclz shuffle - Buffer Size: 16MB (MB/s)",HIB,7457.4,7424.4 "C-Blosc - Test: blosclz shuffle - Buffer Size: 32MB (MB/s)",HIB,7361.7,7424 "C-Blosc - Test: blosclz shuffle - Buffer Size: 64MB (MB/s)",HIB,6560.7,6563.5 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 8MB (MB/s)",HIB,10371.6,10336.6 "C-Blosc - Test: blosclz shuffle - Buffer Size: 128MB (MB/s)",HIB,5468.8,5457.9 "C-Blosc - Test: blosclz shuffle - Buffer Size: 256MB (MB/s)",HIB,4399.7,4429.6 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 8MB (MB/s)",HIB,8267.5,8258.4 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 16MB (MB/s)",HIB,9855.4,9737.2 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 32MB (MB/s)",HIB,7828.9,7847.7 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 64MB (MB/s)",HIB,6761.1,6779.6 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 16MB (MB/s)",HIB,8107.4,8211.3 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 32MB (MB/s)",HIB,7590,7651.2 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 64MB (MB/s)",HIB,6752.2,6790.6 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 128MB (MB/s)",HIB,5467.9,5490.8 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 256MB (MB/s)",HIB,4239.4,4248.9 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 128MB (MB/s)",HIB,5578.8,5636.2 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 256MB (MB/s)",HIB,4497.3,4516 "DuckDB - Benchmark: IMDB (sec)",LIB,, "DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,,