AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 23.04 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 2309298-PTS-OPENVINO16
openvino 2023 ryzen,
"OpenVINO 2023.1 - Model: Face Detection FP16 - Device: CPU",
Higher Results Are Better
"a",14.48,14.42,14.41
"b",14.55,14.46,14.43
"c",14.48,14.46,14.41
"d",14.47,14.4,14.44
"OpenVINO 2023.1 - Model: Person Detection FP16 - Device: CPU",
Higher Results Are Better
"a",93.39,94.37,95.43
"b",94.76,92.68,98.43,95.84,96.94
"c",97.86,94.85,96.39
"d",94.61,94.04,93.15
"OpenVINO 2023.1 - Model: Person Detection FP32 - Device: CPU",
Higher Results Are Better
"a",94.24,93.37,94.09
"b",94.81,95.52,96.87
"c",94.66,93.32,94.63
"d",97.32,92.88,94.18
"OpenVINO 2023.1 - Model: Vehicle Detection FP16 - Device: CPU",
Higher Results Are Better
"a",785.38,766.81,775.39
"b",777.57,774.31,781.09
"c",796.11,781.71,787.61
"d",795.78,785.46,783.33
"OpenVINO 2023.1 - Model: Face Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",28.09,28.03,28.02
"b",28.11,28.01,28.18
"c",28.02,28.09,28.06
"d",28.34,28.15,28.1
"OpenVINO 2023.1 - Model: Face Detection Retail FP16 - Device: CPU",
Higher Results Are Better
"a",3282.72,3272.75,3270
"b",3282.18,3285.9,3281.55
"c",3278.92,3286.42,3290.34
"d",3292.88,3286.61,3279.62
"OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16 - Device: CPU",
Higher Results Are Better
"a",312.66,315.55,314.19
"b",319.43,314,324.8
"c",314.28,316.17,316.75
"d",314.86,317.21,314.66
"OpenVINO 2023.1 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",1749.46,1739.44,1734.41
"b",1744.47,1733.15,1741.38
"c",1745.55,1739.73,1740.9
"d",1739.84,1738.46,1736.74
"OpenVINO 2023.1 - Model: Weld Porosity Detection FP16 - Device: CPU",
Higher Results Are Better
"a",1462.57,1461.87,1461.48
"b",1462.67,1462.56,1462.42
"c",1462.93,1463.34,1461.93
"d",1463.28,1462.98,1462.79
"OpenVINO 2023.1 - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",4847.19,4868.46,4852.51
"b",4870.17,4853.84,4830.07
"c",4825.81,4843.21,4868.59
"d",4846.91,4880.3,4858.3
"OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",508.05,507.74,513.09
"b",519.8,511.18,509.14
"c",506.67,509.53,513.87
"d",511.37,505.06,510.28
"OpenVINO 2023.1 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Higher Results Are Better
"a",140.14,140.35,140.16
"b",140.89,142.15,140.45
"c",140.57,141.12,140.56
"d",140.92,140.11,141.15
"OpenVINO 2023.1 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",2834.51,2834.66,2833.28
"b",2830.86,2835.34,2831.48
"c",2835.35,2832.6,2829.69
"d",2825.62,2831.91,2832.75
"OpenVINO 2023.1 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Higher Results Are Better
"a",1627.7,1650.75,1656.46
"b",1635.27,1633,1633.8
"c",1637.13,1631.93,1643.46
"d",1643.61,1654.59,1646.27
"OpenVINO 2023.1 - Model: Handwritten English Recognition FP16 - Device: CPU",
Higher Results Are Better
"a",763.49,746.35,754.04
"b",758.93,755.65,756.28
"c",755.07,754.35,751.02
"d",745.14,755.52,756.58
"OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Higher Results Are Better
"a",36605.4,36513.32,36657.28
"b",36627.26,36582.83,36703.7
"c",36590.29,36670.42,36596.18
"d",36627.71,36713.75,36625.55
"OpenVINO 2023.1 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",636.44,641.24,638.23
"b",580.89,639.62,641.72,580.58,581.21,641.99,640.57,643.78,640.14,641.77,639.53,639.57,640.08,640.34,640.42
"c",639.28,635.63,642.77
"d",644.24,648.02,641.9
"OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",51713.61,51735.31,51766.31
"b",51802.16,51645.75,51960.91
"c",51702.86,51650.41,51857.47
"d",51898.16,51891.62,51560.49
"OpenVINO 2023.1 - Model: Face Detection FP16 - Device: CPU",
Lower Results Are Better
"a",550.3,552.03,552.57
"b",547.6,552.11,551.44
"c",551.29,551.6,552.57
"d",552.17,552.15,551.99
"OpenVINO 2023.1 - Model: Person Detection FP16 - Device: CPU",
Lower Results Are Better
"a",85.59,84.68,83.75
"b",84.34,86.24,81.18,83.39,82.45
"c",81.68,84.25,82.92
"d",84.48,84.99,85.8
"OpenVINO 2023.1 - Model: Person Detection FP32 - Device: CPU",
Lower Results Are Better
"a",84.83,85.61,84.94
"b",84.3,83.67,82.51
"c",84.41,85.62,84.46
"d",82.14,86.03,84.89
"OpenVINO 2023.1 - Model: Vehicle Detection FP16 - Device: CPU",
Lower Results Are Better
"a",10.14,10.39,10.27
"b",10.24,10.29,10.2
"c",10.01,10.19,10.11
"d",10.01,10.14,10.17
"OpenVINO 2023.1 - Model: Face Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",284.47,284.97,285.09
"b",284.15,285.05,283.46
"c",284.9,284.42,284.83
"d",281.58,283.75,284.21
"OpenVINO 2023.1 - Model: Face Detection Retail FP16 - Device: CPU",
Lower Results Are Better
"a",2.35,2.35,2.36
"b",2.35,2.35,2.35
"c",2.35,2.34,2.34
"d",2.34,2.35,2.35
"OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16 - Device: CPU",
Lower Results Are Better
"a",25.5,25.26,25.38
"b",24.96,25.39,24.55
"c",25.37,25.22,25.17
"d",25.33,25.13,25.34
"OpenVINO 2023.1 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",4.54,4.56,4.58
"b",4.55,4.58,4.56
"c",4.55,4.56,4.56
"d",4.57,4.57,4.57
"OpenVINO 2023.1 - Model: Weld Porosity Detection FP16 - Device: CPU",
Lower Results Are Better
"a",10.92,10.92,10.92
"b",10.91,10.92,10.92
"c",10.91,10.91,10.92
"d",10.91,10.91,10.91
"OpenVINO 2023.1 - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",3.22,3.21,3.22
"b",3.21,3.22,3.23
"c",3.23,3.22,3.21
"d",3.22,3.2,3.22
"OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",15.68,15.69,15.53
"b",15.33,15.58,15.65
"c",15.72,15.63,15.51
"d",15.58,15.77,15.61
"OpenVINO 2023.1 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Lower Results Are Better
"a",57,56.91,56.98
"b",56.68,56.18,56.86
"c",56.8,56.59,56.82
"d",56.7,57,56.6
"OpenVINO 2023.1 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",5.6,5.6,5.6
"b",5.6,5.6,5.61
"c",5.6,5.6,5.61
"d",5.61,5.6,5.6
"OpenVINO 2023.1 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Lower Results Are Better
"a",4.89,4.82,4.8
"b",4.86,4.87,4.87
"c",4.86,4.87,4.84
"d",4.84,4.81,4.83
"OpenVINO 2023.1 - Model: Handwritten English Recognition FP16 - Device: CPU",
Lower Results Are Better
"a",20.92,21.4,21.18
"b",21.04,21.13,21.12
"c",21.15,21.17,21.26
"d",21.43,21.14,21.11
"OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Lower Results Are Better
"a",0.39,0.39,0.39
"b",0.39,0.39,0.39
"c",0.39,0.39,0.39
"d",0.39,0.39,0.39
"OpenVINO 2023.1 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",25.11,24.92,25.04
"b",27.5,24.98,24.9,27.52,27.49,24.89,24.95,24.82,24.97,24.9,24.99,24.98,24.97,24.95,24.95
"c",24.99,25.14,24.86
"d",24.8,24.66,24.89
"OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",0.27,0.27,0.27
"b",0.27,0.27,0.27
"c",0.27,0.27,0.27
"d",0.27,0.27,0.27