7773x

AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

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C++ Boost Tests 2 Tests
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Game Development 3 Tests
HPC - High Performance Computing 13 Tests
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Multi-Core 17 Tests
NVIDIA GPU Compute 4 Tests
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Scientific Computing 7 Tests
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a
May 02 2023
  3 Hours, 1 Minute
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May 02 2023
  4 Hours, 10 Minutes
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7773x AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads),AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads) Motherboard,,AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse Memory,,256GB,256GB Disk,,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP Graphics,,ASPEED,ASPEED Monitor,,VE228,VE228 Network,,2 x Mellanox MT27710,2 x Mellanox MT27710 OS,,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64) Desktop,,GNOME Shell 42.4,GNOME Shell 42.4 Display Server,,X Server 1.21.1.3,X Server 1.21.1.3 Vulkan,,1.2.204,1.2.204 Compiler,,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"a","b" "QuantLib - (MFLOPS)",HIB,2746.5,2692.4 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,24.729957,25.596085 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,40.450568,40.244428 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,25.348583,120.39337 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,40.481652,363.7359 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,11.678414616,11.75332146 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,30.518912661,30.115899704 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,13.862202300,13.530179394 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,17.209349082,16.817080246 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,28.081540950,27.467540273 "John The Ripper - Test: bcrypt (Real C/S)",HIB,86230,91276 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,201388,202957 "John The Ripper - Test: Blowfish (Real C/S)",HIB,86460,87360 "John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,136796000,135165000 "John The Ripper - Test: MD5 (Real C/S)",HIB,5534000,5543000 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,69.1077, "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,63.3711,63.3647 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,78.4751, "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,70.5238, "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,73.8446,73.828 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,64.5117,64.6409 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,4.863,4.826 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,73.442,67.548 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,222.837,214.933 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,195.924,198.135 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,10.295,10.234 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,109.984,109.711 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,604.842,601.984 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,552.241,549.834 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.286,6.128 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,11.367,11.364 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,16.552,16.374 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,30.006,30.114 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,29.383496,29.04569 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,470,469 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,16.928,17.042 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,165.707,164.449 "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,246.957,248.481 "FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,47.74,47.206774889 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,105.78,106.98 "FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,116.93,116.80915814 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,21.59,21.62 "FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,173.23,172.56956694 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,43.73,43.90 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,173.47,172.533939506 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,43.67,43.90 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,7.290,7.299 "Google Draco - Model: Lion (ms)",LIB,4867,4885 "Google Draco - Model: Church Facade (ms)",LIB,5793,5833 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,27.61,27.6 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,72.45,72.02 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,34.77,34.61 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,260.83,259.87 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,88.76,88.73 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,,5554 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,,5142 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,,11.34 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,,9.56361 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,,5.104078 "Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,,4.43804121 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,,17.2118473 "LULESH - (z/s)",HIB,,22257.137 "Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,,2819 "Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,,1277.3 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,,988.5 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,,1390 "Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,,270.8 "Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,,1445.9 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,,17.6 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,,1276.8 "Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,,752.6 "Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,,1300.8 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,,744.5 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,,1434.2 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,,9.3 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,,1190.8 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,,396928 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,,411213 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,,1.26107 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,,1.24618 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,,0.827622 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,,6.92145 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,,3.12487 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,,1183.63 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,,749.622 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,,28.157 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,,428.51 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,,439.07 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,,437.35 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,,5493.35 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,,8308.33 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,,32799.5 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,,36827.5 "ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,,20481.2 "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,,19018.3 "ASKAP - Test: Hogbom Clean OpenMP (Iterations/sec)",HIB,,806.452 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,,17.84 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,11.3 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,10.29 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,,15.6 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,,11.71 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,,15.44 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,,8.12 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,,19.09 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,,24.04 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,,10.89 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,,7.13 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,,19.58 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,,23.92 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,,19.32 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,,53.52 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,,133.39 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,,19.08 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,,12.16 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,,2608.34 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,,8.05 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,,3911.97 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,,8.04 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,,3927 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,,1205.11 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,,26.54 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,,27.03 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,,1175.01 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,,1889.05 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,,16.93 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,,1198.45 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,,26.68 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,,138.84 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,,230.27 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,,2674.29 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,,23.92 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,,1888.2 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,,16.93 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,,35737.82 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,1.74 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,,38091.46 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,,1.62 "PETSc - Test: Streams (MB/s)",HIB,,56185.7504 "OpenCV - Test: Core (ms)",LIB,,77061 "OpenCV - Test: Graph API (ms)",LIB,,235810 "OpenCV - Test: Stitching (ms)",LIB,,201160 "OpenCV - Test: Object Detection (ms)",LIB,,31910 "OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,,39756