openvino emerald rapids

2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 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 2403076-NE-OPENVINOE21
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a
March 07
  1 Hour, 36 Minutes
b
March 07
  43 Minutes
c
March 07
  43 Minutes
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openvino emerald rapids 2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite. ,,"a","b","c" Processor,,2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads),2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads),2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads) Motherboard,,Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS),Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) Chipset,,Intel Device 1bce,Intel Device 1bce,Intel Device 1bce Memory,,1008GB,1008GB,1008GB Disk,,3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive,3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive,3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive Graphics,,ASPEED,ASPEED,ASPEED Network,,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T,2 x Intel X710 for 10GBASE-T OS,,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04 Kernel,,6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64) Desktop,,GNOME Shell 45.3,GNOME Shell 45.3,GNOME Shell 45.3 Display Server,,X Server 1.21.1.11,X Server 1.21.1.11,X Server 1.21.1.11 Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"a","b","c" "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,105.38,104.49,108.01 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,408.09,407.63,413.42 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,407.33,409.43,412.39 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,5395.52,5059.89,5122.52 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,551.64,539.65,548.67 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,18649.87,18654.59,18196.2 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,1157.35,1141.41,1135.04 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,8599.53,8419.14,8493.38 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,32527.7,32438.54,32738.6 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,24398.42,24431.97,24581.79 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,2203.96,2189.14,2179.38 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,1160.65,1107.25,1149.17 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,50775.08,49677.14,51367.64 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,10650.91,10634.19,10726.06 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,9176.37,9181.33,9186.36 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,5180.56,5232.27,5211.85 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,18172.69,18467.48,18437.66 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,93808.72,84580.23,88649.99 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,5485.16,5423.85,5479.42 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,83080.9,87346.93,86048.44 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,302.95,305.42,295.47 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,78.32,78.41,77.3 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,78.47,78.07,77.49 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,5.92,6.31,6.24 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,231.66,236.68,232.84 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,6.86,6.85,7.02 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,27.62,28,28.16 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,14.87,15.19,15.06 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,3.92,3.92,3.89 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.24,5.23,5.2 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,57.99,58.38,58.65 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,27.46,28.74,27.69 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,2.48,2.55,2.46 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,12.01,12.02,11.92 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,13.48,13.46,13.4 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,24.69,24.45,24.54 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,7.03,6.92,6.93 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.82,0.86,0.83 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,23.32,23.59,23.35 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.73,0.7,0.7