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Tests for a future article. AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB 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 2311050-NE-NOVVY939122
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December 09 2023
  2 Hours, 48 Minutes
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December 09 2023
  2 Hours, 49 Minutes
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novvy Tests for a future article. AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads),AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads) Motherboard,,ASUS ROG ZENITH II EXTREME (1603 BIOS),ASUS ROG ZENITH II EXTREME (1603 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse Memory,,64GB,64GB Disk,,Samsung SSD 980 PRO 500GB,Samsung SSD 980 PRO 500GB Graphics,,AMD Radeon RX 5700 8GB (1750/875MHz),AMD Radeon RX 5700 8GB (1750/875MHz) Audio,,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio Monitor,,ASUS VP28U,ASUS VP28U Network,,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS,,Ubuntu 22.04,Ubuntu 22.04 Kernel,,6.2.0-32-generic (x86_64),6.2.0-32-generic (x86_64) Desktop,,GNOME Shell 42.2,GNOME Shell 42.2 Display Server,,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49),4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49) Vulkan,,1.2.204,1.2.204 Compiler,,GCC 11.4.0,GCC 11.4.0 File-System,,ext4,ext4 Screen Resolution,,3840x2160,3840x2160 ,,"a","b" "CloverLeaf - Input: clover_bm16 (sec)",LIB,1297.63,1307.50 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,311,311 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,554,552 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,412.537,428.292 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,301.837,291.051 "QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,195.27,195.12 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,165158,165029 "QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,172.3,172.23 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,148.244,153.816 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,143476,143606 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,150.81,151.11 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,140574,140056 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,132.36,132.12 "QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,113.41,110.56 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,85890,86000 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3924.43,3935.1 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3938.81,3925.64 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3894.96,3914.95 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,75018,74992 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,73331,73227 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1101.21,1094.99 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1090.13,1094.58 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1097.99,1101.56 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4963,4981 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4289,4299 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4191,4196 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,20005,19971 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 256MB (MB/s)",HIB,5388.7,4975.7 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,17147,17193 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,16836,16814 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1251,1252 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1057,1058 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1081,1076 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1769.17,1768.09 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,8.98,8.98 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1394.76,1397.89 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,11.43,11.42 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,252.4,254.29 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,63.37,62.81 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,252.67,252.37 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,63.23,63.29 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,169.89,171.57 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,94.09,93.13 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,39.32,39.86 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,406.48,400.92 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,14.02,13.92 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,1139.38,1147.76 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,196,195.62 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,81.55,81.71 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,89.24,87.83 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,358.24,364.05 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,95.92,96.7 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,333.33,330.63 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,17.76,17.71 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,900.08,902.81 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.48,5.49 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,2914.91,2907.71 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,34.33,34.27 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,465.19,466.04 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,28.18,28.21 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1134.72,1133.46 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,6.24,6.23 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,2556.07,2559.91 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.81,0.81 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,39083.44,38988.78 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.16,1.17 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,27213.1,27049.12 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,18.76,18.85 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,851.68,847.73 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,110940.4,111297.1 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 256MB (MB/s)",HIB,6511.1,5971.1 "C-Blosc - Test: blosclz shuffle - Buffer Size: 256MB (MB/s)",HIB,6794.6,6173.9 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,46279,46238 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 128MB (MB/s)",HIB,6839.2,6452.2 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.57,0.57 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,40607,40704 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,40015,40024 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 64MB (MB/s)",HIB,8272,7935.6 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 128MB (MB/s)",HIB,8726,8241.7 "C-Blosc - Test: blosclz shuffle - Buffer Size: 128MB (MB/s)",HIB,9128.9,8600.5 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 32MB (MB/s)",HIB,10114.3,9830.1 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 64MB (MB/s)",HIB,10766.7,10607.5 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,31.6532,31.2808 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 16MB (MB/s)",HIB,11117.3,10930.2 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 8MB (MB/s)",HIB,11333.4,10921.7 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,33.6235,33.1848 "C-Blosc - Test: blosclz shuffle - Buffer Size: 64MB (MB/s)",HIB,11647.2,11499.4 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,206350,206270 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,4585.89,4575.65 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,49520,49200 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,973.65,969.25 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,21810,21810 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,16380,16390 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,11310,11310 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,335.46,335.25 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,106820,106780 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,75090,75110 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,1440.1,1431.7 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,2935.3,2962.1 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 32MB (MB/s)",HIB,12653.7,12401.9 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 8MB (MB/s)",HIB,12902.5,12733.1 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,27.056,26.898 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 16MB (MB/s)",HIB,13502.4,13204.9 "CloverLeaf - Input: clover_bm (sec)",LIB,26.36,27.46 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.14,1.14 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.14,1.14 "C-Blosc - Test: blosclz shuffle - Buffer Size: 32MB (MB/s)",HIB,13648.4,13927.4 "C-Blosc - Test: blosclz shuffle - Buffer Size: 8MB (MB/s)",HIB,14524.6,14553.4 "C-Blosc - Test: blosclz shuffle - Buffer Size: 16MB (MB/s)",HIB,14681.1,15007 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,33.8293,33.7705 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.59343,5.5548 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.54036,1.55034 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,36.6992,36.4016 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,38.059,37.5066 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,38.0919,38.0387 "QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,14.7,14.49 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.51732,1.40003 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.35399,1.39743 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.30723,5.30471 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.972836,0.970336 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,6.75167,6.79235 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.3594,7.3635 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,3.321,3.395 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.74341,2.74744 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.54437,1.56101 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,