2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 24.04 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 2403089-NE-GENOAXNEW83
genoa x new tests
2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite.
,,"a","b"
Processor,,2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads),2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads)
Motherboard,,AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS)
Chipset,,AMD Device 14a4,AMD Device 14a4
Memory,,1520GB,1520GB
Disk,,3201GB Micron_7450_MTFDKCB3T2TFS,3201GB Micron_7450_MTFDKCB3T2TFS
Graphics,,ASPEED,ASPEED
Network,,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe
OS,,Ubuntu 24.04,Ubuntu 24.04
Kernel,,6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64)
Desktop,,GNOME Shell 45.3,GNOME Shell 45.3
Display Server,,X Server 1.21.1.11,X Server 1.21.1.11
Compiler,,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1200,1920x1200
,,"a","b"
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,19010000,16630000
"oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,1.17495,1.25022
"JPEG-XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,42.324,39.922
"JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,37.422,39.638
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,18510000,17640000
"JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,37.649,39.33
"oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,0.984652,1.0162
"JPEG-XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,38.623,39.698
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,183942.22,179505.67
"Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,15820000,16200000
"oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,759.113,773.921
"oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,0.558204,0.547976
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,7490.68,7615.17
"JPEG-XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,443.352,436.186
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2654,2619
"JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,34.222,33.791
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,17854,17637
"oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,0.882192,0.892682
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,160723.34,162505.3
"JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,33.311,33.655
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,50.26,50.7449
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,10373,10292
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,142,141
"oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,833.891,839.291
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,6016.39,5979.72
"NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,6.48151,6.44351
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,108.37,108.99
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4517,4542
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,553,556
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,560,563
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2257,2269
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,441.65,439.33
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,56.1673,55.8867
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,5287,5262
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,31.82,31.97
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,17575,17656
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,1117.43,1122.52
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,42.89,42.7
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,12690.9,12742.94
"WavPack Audio Encoding - WAV To WavPack (sec)",LIB,5.133,5.113
"NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,20.88943,20.96858
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,23.43,23.51
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,653,651
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,23360.27,23431.01
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,55.7664,55.934
"oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,31.2439,31.1561
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2237,2243
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,3.77,3.76
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,8822,8800
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,9.14,9.12
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,61.0524,60.9234
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4490,4481
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,20802.63,20840.55
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,195.028,195.33
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,13.63,13.61
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,34.12,34.17
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,5603.74,5595.65
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,50.7349,50.6641
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,11829.33,11812.89
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,20881,20910
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,1111.37,1109.87
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,43.16,43.21
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,17.91,17.89
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,4057.44,4053.27
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,3519.33,3522.68
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,1108.67,1109.71
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,43.26,43.22
"JPEG-XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,58.047,57.994
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,11.82,11.83
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,8287.12,8292.43
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,36086.67,36103.89
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,232.58,232.48
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,9837.89,9834.05
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,10636.6,10639.34
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,8852,8850
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,205.9,205.93
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.34,0.34
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.53,0.53
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,4.87,4.87
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.29,5.29
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.05,4.05
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,2.04,2.04
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,5.78,5.78
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,166,166
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,142,142