AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED 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 2305028-NE-7773X599240
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:
Processor: AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
PETSc 3.19
Test: Streams
MB/s > Higher Is Better
b . 56185.75 |=================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark ISPC
Items / Sec > Higher Is Better
a . 470 |======================================================================
b . 469 |======================================================================
Blender 3.5
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 260.83 |===================================================================
b . 259.87 |===================================================================
Timed LLVM Compilation 16.0
Build System: Unix Makefiles
Seconds < Lower Is Better
a . 246.96 |===================================================================
b . 248.48 |===================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Video On Demand
FPS > Higher Is Better
a . 43.67 |====================================================================
b . 43.90 |====================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Video On Demand
Seconds < Lower Is Better
a . 173.47 |===================================================================
b . 172.53 |===================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Platform
FPS > Higher Is Better
a . 43.73 |====================================================================
b . 43.90 |====================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Platform
Seconds < Lower Is Better
a . 173.23 |===================================================================
b . 172.57 |===================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Upload
FPS > Higher Is Better
a . 21.59 |====================================================================
b . 21.62 |====================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Upload
Seconds < Lower Is Better
a . 116.93 |===================================================================
b . 116.81 |===================================================================
LeelaChessZero 0.28
Backend: Eigen
Nodes Per Second > Higher Is Better
b . 5142 |=====================================================================
LeelaChessZero 0.28
Backend: BLAS
Nodes Per Second > Higher Is Better
b . 5554 |=====================================================================
Timed LLVM Compilation 16.0
Build System: Ninja
Seconds < Lower Is Better
a . 165.71 |===================================================================
b . 164.45 |==================================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Execution Time
Seconds < Lower Is Better
a . 40.48 |=======
b . 363.74 |===================================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 25.35 |==============
b . 120.39 |===================================================================
ASKAP 1.0
Test: tConvolve MT - Degridding
Million Grid Points Per Second > Higher Is Better
b . 8308.33 |==================================================================
ASKAP 1.0
Test: tConvolve MT - Gridding
Million Grid Points Per Second > Higher Is Better
b . 5493.35 |==================================================================
OpenCV 4.7
Test: Graph API
ms < Lower Is Better
b . 235810 |===================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
b . 437.35 |===================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
b . 439.07 |===================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
b . 428.51 |===================================================================
OpenCV 4.7
Test: Stitching
ms < Lower Is Better
b . 201160 |===================================================================
VVenC 1.8
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 6.286 |====================================================================
b . 6.128 |==================================================================
Blender 3.5
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 88.76 |====================================================================
b . 88.73 |====================================================================
NCNN 20220729
Target: CPU - Model: FastestDet
ms < Lower Is Better
b . 19.08 |====================================================================
NCNN 20220729
Target: CPU - Model: vision_transformer
ms < Lower Is Better
b . 133.39 |===================================================================
NCNN 20220729
Target: CPU - Model: regnety_400m
ms < Lower Is Better
b . 53.52 |====================================================================
NCNN 20220729
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
b . 19.32 |====================================================================
NCNN 20220729
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
b . 23.92 |====================================================================
NCNN 20220729
Target: CPU - Model: resnet50
ms < Lower Is Better
b . 19.58 |====================================================================
NCNN 20220729
Target: CPU - Model: alexnet
ms < Lower Is Better
b . 7.13 |=====================================================================
NCNN 20220729
Target: CPU - Model: resnet18
ms < Lower Is Better
b . 10.89 |====================================================================
NCNN 20220729
Target: CPU - Model: vgg16
ms < Lower Is Better
b . 24.04 |====================================================================
NCNN 20220729
Target: CPU - Model: googlenet
ms < Lower Is Better
b . 19.09 |====================================================================
NCNN 20220729
Target: CPU - Model: blazeface
ms < Lower Is Better
b . 8.12 |=====================================================================
NCNN 20220729
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
b . 15.44 |====================================================================
NCNN 20220729
Target: CPU - Model: mnasnet
ms < Lower Is Better
b . 11.71 |====================================================================
NCNN 20220729
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
b . 15.6 |=====================================================================
NCNN 20220729
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
b . 10.29 |====================================================================
NCNN 20220729
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
b . 11.3 |=====================================================================
NCNN 20220729
Target: CPU - Model: mobilenet
ms < Lower Is Better
b . 17.84 |====================================================================
Blender 3.5
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 72.45 |====================================================================
b . 72.02 |====================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Live
FPS > Higher Is Better
a . 105.78 |==================================================================
b . 106.98 |===================================================================
FFmpeg 6.0
Encoder: libx265 - Scenario: Live
Seconds < Lower Is Better
a . 47.74 |====================================================================
b . 47.21 |===================================================================
John The Ripper 2023.03.14
Test: MD5
Real C/S > Higher Is Better
a . 5534000 |==================================================================
b . 5543000 |==================================================================
John The Ripper 2023.03.14
Test: HMAC-SHA512
Real C/S > Higher Is Better
a . 136796000 |================================================================
b . 135165000 |===============================================================
VVenC 1.8
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 11.37 |====================================================================
b . 11.36 |====================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
b . 1183.63 |==================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
b . 749.62 |===================================================================
OpenCV 4.7
Test: Core
ms < Lower Is Better
b . 77061 |====================================================================
Zstd Compression 1.5.4
Compression Level: 19, Long Mode - Decompression Speed
MB/s > Higher Is Better
b . 1190.8 |===================================================================
Zstd Compression 1.5.4
Compression Level: 19, Long Mode - Compression Speed
MB/s > Higher Is Better
b . 9.3 |======================================================================
VVenC 1.8
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 16.55 |====================================================================
b . 16.37 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 4.863 |====================================================================
b . 4.826 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 73.44 |====================================================================
b . 67.55 |===============================================================
Blender 3.5
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 34.77 |====================================================================
b . 34.61 |====================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Execution Time
Seconds < Lower Is Better
a . 40.45 |====================================================================
b . 40.24 |====================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 24.73 |==================================================================
b . 25.60 |====================================================================
OpenVINO 2022.3
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
b . 3911.97 |==================================================================
OpenVINO 2022.3
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
b . 8.05 |=====================================================================
Zstd Compression 1.5.4
Compression Level: 19 - Decompression Speed
MB/s > Higher Is Better
b . 1276.8 |===================================================================
Zstd Compression 1.5.4
Compression Level: 19 - Compression Speed
MB/s > Higher Is Better
b . 17.6 |=====================================================================
OpenVINO 2022.3
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
b . 3927 |=====================================================================
OpenVINO 2022.3
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
b . 8.04 |=====================================================================
GROMACS 2023
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
a . 7.290 |====================================================================
b . 7.299 |====================================================================
OpenVINO 2022.3
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
b . 2608.34 |==================================================================
OpenVINO 2022.3
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
b . 12.16 |====================================================================
SPECFEM3D 4.0
Model: Layered Halfspace
Seconds < Lower Is Better
a . 30.52 |====================================================================
b . 30.12 |===================================================================
OpenVINO 2022.3
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
b . 1175.01 |==================================================================
OpenVINO 2022.3
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
b . 27.03 |====================================================================
ACES DGEMM 1.0
Sustained Floating-Point Rate
GFLOP/s > Higher Is Better
a . 29.38 |====================================================================
b . 29.05 |===================================================================
OpenVINO 2022.3
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
b . 230.27 |===================================================================
OpenVINO 2022.3
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
b . 138.84 |===================================================================
SPECFEM3D 4.0
Model: Water-layered Halfspace
Seconds < Lower Is Better
a . 28.08 |====================================================================
b . 27.47 |===================================================================
Zstd Compression 1.5.4
Compression Level: 3 - Decompression Speed
MB/s > Higher Is Better
b . 1277.3 |===================================================================
Zstd Compression 1.5.4
Compression Level: 3 - Compression Speed
MB/s > Higher Is Better
b . 2819 |=====================================================================
Zstd Compression 1.5.4
Compression Level: 8 - Decompression Speed
MB/s > Higher Is Better
b . 1390 |=====================================================================
Zstd Compression 1.5.4
Compression Level: 8 - Compression Speed
MB/s > Higher Is Better
b . 988.5 |====================================================================
Zstd Compression 1.5.4
Compression Level: 3, Long Mode - Decompression Speed
MB/s > Higher Is Better
b . 1300.8 |===================================================================
Zstd Compression 1.5.4
Compression Level: 3, Long Mode - Compression Speed
MB/s > Higher Is Better
b . 752.6 |====================================================================
Zstd Compression 1.5.4
Compression Level: 12 - Decompression Speed
MB/s > Higher Is Better
b . 1445.9 |===================================================================
Zstd Compression 1.5.4
Compression Level: 12 - Compression Speed
MB/s > Higher Is Better
b . 270.8 |====================================================================
Zstd Compression 1.5.4
Compression Level: 8, Long Mode - Decompression Speed
MB/s > Higher Is Better
b . 1434.2 |===================================================================
Zstd Compression 1.5.4
Compression Level: 8, Long Mode - Compression Speed
MB/s > Higher Is Better
b . 744.5 |====================================================================
OpenVINO 2022.3
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
b . 16.93 |====================================================================
OpenVINO 2022.3
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
b . 1888.2 |===================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
b . 16.93 |====================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
b . 1889.05 |==================================================================
QuantLib 1.30
MFLOPS > Higher Is Better
a . 2746.5 |===================================================================
b . 2692.4 |==================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
b . 1.62 |=====================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
b . 38091.46 |=================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
b . 26.54 |====================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
b . 1205.11 |==================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
b . 1.74 |=====================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
b . 35737.82 |=================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
b . 26.68 |====================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
b . 1198.45 |==================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
b . 23.92 |====================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
b . 2674.29 |==================================================================
John The Ripper 2023.03.14
Test: WPA PSK
Real C/S > Higher Is Better
a . 201388 |==================================================================
b . 202957 |===================================================================
John The Ripper 2023.03.14
Test: bcrypt
Real C/S > Higher Is Better
a . 86230 |================================================================
b . 91276 |====================================================================
John The Ripper 2023.03.14
Test: Blowfish
Real C/S > Higher Is Better
a . 86460 |===================================================================
b . 87360 |====================================================================
Embree 4.0.1
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 70.52 |====================================================================
Blender 3.5
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 27.61 |====================================================================
b . 27.60 |====================================================================
VVenC 1.8
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 30.01 |====================================================================
b . 30.11 |====================================================================
OpenCV 4.7
Test: DNN - Deep Neural Network
ms < Lower Is Better
b . 39756 |====================================================================
Embree 4.0.1
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 64.51 |====================================================================
b . 64.64 |====================================================================
SPECFEM3D 4.0
Model: Homogeneous Halfspace
Seconds < Lower Is Better
a . 17.21 |====================================================================
b . 16.82 |==================================================================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
b . 411213 |===================================================================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
b . 396928 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 10.30 |====================================================================
b . 10.23 |====================================================================
Timed FFmpeg Compilation 6.0
Time To Compile
Seconds < Lower Is Better
a . 16.93 |====================================================================
b . 17.04 |====================================================================
SPECFEM3D 4.0
Model: Tomographic Model
Seconds < Lower Is Better
a . 13.86 |====================================================================
b . 13.53 |==================================================================
OpenCV 4.7
Test: Object Detection
ms < Lower Is Better
b . 31910 |====================================================================
ASKAP 1.0
Test: tConvolve MPI - Gridding
Mpix/sec > Higher Is Better
b . 36827.5 |==================================================================
ASKAP 1.0
Test: tConvolve MPI - Degridding
Mpix/sec > Higher Is Better
b . 32799.5 |==================================================================
Embree 4.0.1
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 69.11 |====================================================================
eSpeak-NG Speech Engine 20200907
Text-To-Speech Synthesis
Seconds < Lower Is Better
b . 28.16 |====================================================================
SPECFEM3D 4.0
Model: Mount St. Helens
Seconds < Lower Is Better
a . 11.68 |====================================================================
b . 11.75 |====================================================================
Embree 4.0.1
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 78.48 |====================================================================
Embree 4.0.1
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 63.37 |====================================================================
b . 63.36 |====================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
b . 6.92145 |==================================================================
LULESH 2.0.3
z/s > Higher Is Better
b . 22257.14 |=================================================================
SVT-AV1 1.5
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 109.98 |===================================================================
b . 109.71 |===================================================================
Embree 4.0.1
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 73.84 |====================================================================
b . 73.83 |====================================================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 193 Cells Per Direction
Seconds < Lower Is Better
b . 17.21 |====================================================================
oneDNN 3.1
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
b . 1.26107 |==================================================================
ASKAP 1.0
Test: Hogbom Clean OpenMP
Iterations Per Second > Higher Is Better
b . 806.45 |===================================================================
Google Draco 1.5.6
Model: Church Facade
ms < Lower Is Better
a . 5793 |=====================================================================
b . 5833 |=====================================================================
Google Draco 1.5.6
Model: Lion
ms < Lower Is Better
a . 4867 |=====================================================================
b . 4885 |=====================================================================
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
Seconds < Lower Is Better
b . 11.34 |====================================================================
SVT-AV1 1.5
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 222.84 |===================================================================
b . 214.93 |=================================================================
Pennant 1.0.1
Test: sedovbig
Hydro Cycle Time - Seconds < Lower Is Better
b . 9.56361 |==================================================================
oneDNN 3.1
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
b . 1.24618 |==================================================================
SVT-AV1 1.5
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 195.92 |==================================================================
b . 198.14 |===================================================================
ASKAP 1.0
Test: tConvolve OpenMP - Degridding
Million Grid Points Per Second > Higher Is Better
b . 19018.3 |==================================================================
ASKAP 1.0
Test: tConvolve OpenMP - Gridding
Million Grid Points Per Second > Higher Is Better
b . 20481.2 |==================================================================
oneDNN 3.1
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
b . 0.827622 |=================================================================
Pennant 1.0.1
Test: leblancbig
Hydro Cycle Time - Seconds < Lower Is Better
b . 5.104078 |=================================================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 129 Cells Per Direction
Seconds < Lower Is Better
b . 4.43804121 |===============================================================
SVT-AV1 1.5
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 604.84 |===================================================================
b . 601.98 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 552.24 |===================================================================
b . 549.83 |===================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
b . 3.12487 |==================================================================