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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2311069-PTS-AUG6407629
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"
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,6.77,6.74
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,26.48,26.21
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,26.51,26.25
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,140.54,142.3
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,26.96,26.97
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,759.1,765.16
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,58.37,58.28
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,756.48,758.98
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,766.69,763.83
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,3190.1,3192.8
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,232.23,229.51
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,78.93,78.36
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,2725.1,2734.29
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,322.01,322.81
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,171.99,174.6
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,18225.98,18196.6
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,208.24,150.46
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,35356.18,35584.44
"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
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,26.2733,25.6418
"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: 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: 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: 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: double - X Y Z: 128 (GFLOP/s)",HIB,20.9461,21.5749
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,16.3164,15.8081
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,18.8937,18.7258
"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
"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
"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
"QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,44641,44888.6
"QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,2682,2684.2
"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
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1722.09,1677.89
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,941.957,898.306
"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
"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
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1758.87,1768.54
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,453.11,457.7
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,452.46,457
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,85.3,84.25
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,444.06,444.29
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,15.78,15.65
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,205.41,205.72
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,15.82,15.77
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,23.43,23.52
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.59,5.59
"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 (ms)",LIB,151.95,152.93
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,6.58,6.57
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,37.23,37.14
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,104.57,103.02
"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 (ms)",LIB,86.37,119.54
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.48,0.48
"CloverLeaf - Input: clover_bm (sec)",LIB,88.76,88.75
"CloverLeaf - Input: clover_bm64_short (sec)",LIB,212.72,211.67
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,8.422,8.418
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,207.533,207.714
"Timed Gem5 Compilation - Time To Compile (sec)",LIB,413.862,413.585
"DuckDB - Benchmark: IMDB (sec)",LIB,,
"DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,,
"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