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
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: 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 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: 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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",
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",