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.

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March 08
  1 Hour, 37 Minutes
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March 08
  1 Hour, 36 Minutes
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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