novvy

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-NOVVY809122
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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 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" "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,8.98,8.98 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,63.37,62.81 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,63.23,63.29 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,465.19,466.04 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,11.43,11.42 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,2556.07,2559.91 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,81.55,81.71 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,900.08,902.81 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,851.68,847.73 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,2914.91,2907.71 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,406.48,400.92 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,94.09,93.13 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1134.72,1133.46 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,1139.38,1147.76 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,333.33,330.63 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,27213.1,27049.12 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,358.24,364.05 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,39083.44,38988.78 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,38.0919,38.0387 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,33.8293,33.7705 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,38.059,37.5066 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,33.6235,33.1848 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,36.6992,36.4016 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,31.6532,31.2808 "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 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.57,0.57 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,554,552 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,311,311 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,973.65,969.25 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,335.46,335.25 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,11310,11310 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,4585.89,4575.65 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,206350,206270 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,1440.1,1431.7 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,49520,49200 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,16380,16390 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,21810,21810 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,75090,75110 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,106820,106780 "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 "C-Blosc - Test: blosclz shuffle - Buffer Size: 32MB (MB/s)",HIB,13648.4,13927.4 "C-Blosc - Test: blosclz shuffle - Buffer Size: 64MB (MB/s)",HIB,11647.2,11499.4 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 8MB (MB/s)",HIB,11333.4,10921.7 "C-Blosc - Test: blosclz shuffle - Buffer Size: 128MB (MB/s)",HIB,9128.9,8600.5 "C-Blosc - Test: blosclz shuffle - Buffer Size: 256MB (MB/s)",HIB,6794.6,6173.9 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 8MB (MB/s)",HIB,12902.5,12733.1 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 16MB (MB/s)",HIB,11117.3,10930.2 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 32MB (MB/s)",HIB,10114.3,9830.1 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 64MB (MB/s)",HIB,8272,7935.6 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 16MB (MB/s)",HIB,13502.4,13204.9 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 32MB (MB/s)",HIB,12653.7,12401.9 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 64MB (MB/s)",HIB,10766.7,10607.5 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 128MB (MB/s)",HIB,6839.2,6452.2 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 256MB (MB/s)",HIB,5388.7,4975.7 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 128MB (MB/s)",HIB,8726,8241.7 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 256MB (MB/s)",HIB,6511.1,5971.1 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,110940.4,111297.1 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,2935.3,2962.1 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.51732,1.40003 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.30723,5.30471 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.35399,1.39743 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.972836,0.970336 "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,6.75167,6.79235 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.59343,5.5548 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.74341,2.74744 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.3594,7.3635 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.54036,1.55034 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.54437,1.56101 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3894.96,3914.95 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1090.13,1094.58 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3938.81,3925.64 "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,1097.99,1101.56 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3924.43,3935.1 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1101.21,1094.99 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4191,4196 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4289,4299 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4963,4981 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,73331,73227 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,140574,140056 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,75018,74992 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,143476,143606 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,85890,86000 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,165158,165029 "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 "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: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,16836,16814 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,40015,40024 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,17147,17193 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,40607,40704 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,20005,19971 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,46279,46238 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1769.17,1768.09 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,252.4,254.29 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,252.67,252.37 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,34.33,34.27 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1394.76,1397.89 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,6.24,6.23 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,196,195.62 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,17.76,17.71 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,18.76,18.85 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.48,5.49 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,39.32,39.86 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,169.89,171.57 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,28.18,28.21 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,14.02,13.92 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,95.92,96.7 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.16,1.17 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,89.24,87.83 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.81,0.81 "CloverLeaf - Input: clover_bm (sec)",LIB,26.36,27.46 "CloverLeaf - Input: clover_bm16 (sec)",LIB,1297.63,1307.50 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,150.81,151.11 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,3.321,3.395 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,148.244,153.816 "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: H4_ae (Execution Time - sec)",LIB,14.7,14.49 "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 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,27.056,26.898 "QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,195.27,195.12 "QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,172.3,172.23