openvino 2024

Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and ASUS Intel RPL-S 31GB on Ubuntu 23.10 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 2403078-PTS-OPENVINO47
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a
March 07
  2 Hours, 4 Minutes
b
March 07
  2 Hours, 2 Minutes
c
March 07
  2 Hours, 2 Minutes
d
March 07
  41 Minutes
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openvino 2024, "OpenVINO 2024.0 - Model: Face Detection FP16 - Device: CPU", Higher Results Are Better "a",5.72,5.45,5.51,5.48 "b",5.68,5.51,5.45 "c",5.72,5.55,5.55 "d", "OpenVINO 2024.0 - Model: Face Detection FP16 - Device: CPU", Lower Results Are Better "a",1393.22,1446.57,1440.05,1444.69 "b",1405.95,1442.43,1447.12 "c",1386.83,1433.44,1434.84 "d", "OpenVINO 2024.0 - Model: Person Detection FP16 - Device: CPU", Higher Results Are Better "a",56.27,55.82,54.32 "b",55.57,55.13,54.4 "c",54.81,55.23,56.21 "d", "OpenVINO 2024.0 - Model: Person Detection FP16 - Device: CPU", Lower Results Are Better "a",141.83,142.98,146.86 "b",143.64,144.81,146.72 "c",145.6,144.55,141.98 "d", "OpenVINO 2024.0 - Model: Person Detection FP32 - Device: CPU", Higher Results Are Better "a",56.05,55.32,53.43 "b",55.16,55.12,54.28 "c",55.33,55.3,55.02 "d", "OpenVINO 2024.0 - Model: Person Detection FP32 - Device: CPU", Lower Results Are Better "a",142.32,144.23,149.44 "b",144.63,144.72,147.05 "c",144.24,144.33,144.98 "d", "OpenVINO 2024.0 - Model: Vehicle Detection FP16 - Device: CPU", Higher Results Are Better "a",358.53,358.18,360.64 "b",358.41,361.08,360.38 "c",360.11,359.64,362.25 "d", "OpenVINO 2024.0 - Model: Vehicle Detection FP16 - Device: CPU", Lower Results Are Better "a",22.23,22.25,22.1 "b",22.23,22.07,22.12 "c",22.13,22.16,22 "d", "OpenVINO 2024.0 - Model: Face Detection FP16-INT8 - Device: CPU", Higher Results Are Better "a",18.54,18.55,18.57 "b",18.59,18.57,18.56 "c",18.59,18.45,18.55 "d", "OpenVINO 2024.0 - Model: Face Detection FP16-INT8 - Device: CPU", Lower Results Are Better "a",430.27,430.6,429.99 "b",429.07,429.21,430.33 "c",429.57,431.25,430.38 "d", "OpenVINO 2024.0 - Model: Face Detection Retail FP16 - Device: CPU", Higher Results Are Better "a",1585.08,1543.37,1559.62 "b",1585.44,1560.24,1564.14 "c",1570.27,1569.08,1541.38 "d", "OpenVINO 2024.0 - Model: Face Detection Retail FP16 - Device: CPU", Lower Results Are Better "a",5.01,5.14,5.08 "b",5.01,5.09,5.08 "c",5.06,5.06,5.15 "d", "OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16 - Device: CPU", Higher Results Are Better "a",125.12,124.78,124.98 "b",125.17,125.14,123.67 "c",125.43,125.28,125.56 "d", "OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16 - Device: CPU", Lower Results Are Better "a",63.84,63.99,63.91 "b",63.8,63.83,64.58 "c",63.68,63.78,63.62 "d", "OpenVINO 2024.0 - Model: Vehicle Detection FP16-INT8 - Device: CPU", Higher Results Are Better "a",879.96,875.18,879.01 "b",883.31,873.99,883.73 "c",884.9,878.75,877.26 "d", "OpenVINO 2024.0 - Model: Vehicle Detection FP16-INT8 - Device: CPU", Lower Results Are Better "a",8.93,8.97,8.95 "b",8.91,8.99,8.91 "c",8.88,8.94,8.96 "d", "OpenVINO 2024.0 - Model: Weld Porosity Detection FP16 - Device: CPU", Higher Results Are Better "a",548.44,542.78,546.3 "b",549.99,545.35,550.88 "c",551.2,545.8,547.08 "d", "OpenVINO 2024.0 - Model: Weld Porosity Detection FP16 - Device: CPU", Lower Results Are Better "a",43.32,43.78,43.54 "b",43.2,43.62,43.21 "c",43.12,43.52,43.5 "d", "OpenVINO 2024.0 - Model: Face Detection Retail FP16-INT8 - Device: CPU", Higher Results Are Better "a",2769.81,2766.02,2774.01 "b",2768.26,2766.99,2779.52 "c",2772.38,2767.92,2772.23 "d", "OpenVINO 2024.0 - Model: Face Detection Retail FP16-INT8 - Device: CPU", Lower Results Are Better "a",8.32,8.33,8.33 "b",8.33,8.33,8.3 "c",8.31,8.32,8.32 "d", "OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU", Higher Results Are Better "a",369.63,367.35,368.43 "b",372.3,369.43,369.68 "c",369.68,369.88,366.17 "d", "OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU", Lower Results Are Better "a",21.55,21.69,21.63 "b",21.41,21.58,21.56 "c",21.55,21.56,21.77 "d", "OpenVINO 2024.0 - Model: Machine Translation EN To DE FP16 - Device: CPU", Higher Results Are Better "a",64.53,64.37,64.66 "b",65.24,64.37,65.23 "c",64.83,64.32,64.68 "d", "OpenVINO 2024.0 - Model: Machine Translation EN To DE FP16 - Device: CPU", Lower Results Are Better "a",123.84,124.17,123.64 "b",122.46,124.21,122.38 "c",123.25,124.23,123.49 "d", "OpenVINO 2024.0 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU", Higher Results Are Better "a",1796.76,1792.57,1793.96 "b",1826.61,1801.7,1795.43 "c",1794.24,1793.96,1787.67 "d", "OpenVINO 2024.0 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU", Lower Results Are Better "a",13,13.03,13.03 "b",12.97,13.02,13.01 "c",13.02,13.02,13.04 "d", "OpenVINO 2024.0 - Model: Person Vehicle Bike Detection FP16 - Device: CPU", Higher Results Are Better "a",686.73,673.61,678.77 "b",687.74,674.94,677.09 "c",683.12,672.53,672.06 "d", "OpenVINO 2024.0 - Model: Person Vehicle Bike Detection FP16 - Device: CPU", Lower Results Are Better "a",11.57,11.8,11.7 "b",11.56,11.77,11.73 "c",11.63,11.82,11.83 "d", "OpenVINO 2024.0 - Model: Noise Suppression Poconet-Like FP16 - Device: CPU", Higher Results Are Better "a",1043.55,1034.24,1031.46 "b",1036.28,1035.47,1036.37 "c",1038.04,1035.25,1038.18 "d", "OpenVINO 2024.0 - Model: Noise Suppression Poconet-Like FP16 - Device: CPU", Lower Results Are Better "a",22.77,22.97,23.02 "b",22.92,22.93,22.9 "c",22.86,22.93,22.87 "d", "OpenVINO 2024.0 - Model: Handwritten English Recognition FP16 - Device: CPU", Higher Results Are Better "a",302.35,297.97,300.22 "b",304.57,298.72,301.8 "c",303.47,301.46,299.94 "d", "OpenVINO 2024.0 - Model: Handwritten English Recognition FP16 - Device: CPU", Lower Results Are Better "a",79.23,80.38,79.78 "b",78.66,80.19,79.37 "c",78.93,79.45,79.85 "d", "OpenVINO 2024.0 - Model: Person Re-Identification Retail FP16 - Device: CPU", Higher Results Are Better "a",831.53,827.98,825.8 "b",829.9,829.44,827.4 "c",833.23,827.62,827.02 "d", "OpenVINO 2024.0 - Model: Person Re-Identification Retail FP16 - Device: CPU", Lower Results Are Better "a",9.49,9.52,9.56 "b",9.5,9.45,9.49 "c",9.46,9.52,9.53 "d", "OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Higher Results Are Better "a",14619.77,14631.76,14591.91 "b",14614.05,14494.5,14480.37 "c",14532.25,14555.53,14526.26 "d", "OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Lower Results Are Better "a",1.51,1.51,1.51 "b",1.51,1.52,1.52 "c",1.51,1.51,1.51 "d", "OpenVINO 2024.0 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU", Higher Results Are Better "a",354.03,352.69,349.62 "b",356.3,353.18,352.25 "c",355.73,355.5,350.99 "d", "OpenVINO 2024.0 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU", Lower Results Are Better "a",67.67,67.93,68.54 "b",67.24,67.83,68.04 "c",67.35,67.38,68.26 "d", "OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", Higher Results Are Better "a",38135.79,37817.71,38018.57 "b",38091.38,37880.24,38067.53 "c",37980.64,38049.35,37903.95 "d", "OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", Lower Results Are Better "a",0.57,0.57,0.57 "b",0.57,0.57,0.57 "c",0.57,0.57,0.57 "d",