AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and NVIDIA GeForce RTX 4090 24GB 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 2403069-PTS-OPENVINO90
openvino 2024,
"OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16 - Device: CPU",
Higher Results Are Better
"a",287.15,282.42,284.74
"b",286.12,279.89,282.18
"c",279.96,281.29,273.33
"OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16 - Device: CPU",
Lower Results Are Better
"a",27.79,28.25,28.02
"b",27.89,28.5,28.27
"c",28.49,28.36,29.17
"OpenVINO 2024.0 - Model: Person Detection FP32 - Device: CPU",
Higher Results Are Better
"a",89.28,92.91,91.32
"b",94.45,91.1,90.93
"c",90.18,90.59,91.53
"OpenVINO 2024.0 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Lower Results Are Better
"a",5.27,5.33,5.4
"b",5.35,5.27,5.39
"c",5.29,5.23,5.26
"OpenVINO 2024.0 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Higher Results Are Better
"a",1511.72,1495.34,1475.38
"b",1489.24,1510.63,1477.16
"c",1504.24,1524.24,1515.46
"OpenVINO 2024.0 - Model: Person Detection FP32 - Device: CPU",
Lower Results Are Better
"a",89.51,86.01,87.51
"b",84.62,87.74,87.91
"c",88.59,88.2,87.32
"OpenVINO 2024.0 - Model: Person Detection FP16 - Device: CPU",
Lower Results Are Better
"a",87.26,86.01,88.64
"b",88.44,86.79,86.3
"c",87.42,84.98,86.13
"OpenVINO 2024.0 - Model: Person Detection FP16 - Device: CPU",
Higher Results Are Better
"a",91.61,92.92,90.17
"b",90.37,92.06,92.62
"c",91.41,94.04,92.81
"OpenVINO 2024.0 - Model: Vehicle Detection FP16 - Device: CPU",
Higher Results Are Better
"a",755.35,765.82,767.48
"b",768.12,761.91,765.25
"c",772.28,770.52,768.96
"OpenVINO 2024.0 - Model: Vehicle Detection FP16 - Device: CPU",
Lower Results Are Better
"a",10.55,10.41,10.39
"b",10.38,10.46,10.42
"c",10.32,10.35,10.37
"OpenVINO 2024.0 - Model: Face Detection FP16 - Device: CPU",
Higher Results Are Better
"a",13.5,13.28,13.2
"b",13.52,13.33,13.25
"c",13.44,13.21,13.16
"OpenVINO 2024.0 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Higher Results Are Better
"a",135.11,135.79,135.37
"b",133.74,135.42,135.04
"c",135.96,135.92,135.23
"OpenVINO 2024.0 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Lower Results Are Better
"a",59.1,58.82,59
"b",59.69,58.97,59.15
"c",58.74,58.77,59.05
"OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",454.99,452.14,449.9
"b",455.82,456.91,453.66
"c",458.15,451.35,455.64
"OpenVINO 2024.0 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",17.53,17.64,17.73
"b",17.5,17.46,17.58
"c",17.4,17.67,17.5
"OpenVINO 2024.0 - Model: Face Detection FP16 - Device: CPU",
Lower Results Are Better
"a",590.4,600.09,603.12
"b",590.02,598.77,602.4
"c",592.44,602.46,605.37
"OpenVINO 2024.0 - Model: Face Detection Retail FP16 - Device: CPU",
Higher Results Are Better
"a",3076.18,3074.76,3095.13
"b",3128.29,3086.51,3072.57
"c",3079.01,3080.77,3082.87
"OpenVINO 2024.0 - Model: Person Re-Identification Retail FP16 - Device: CPU",
Lower Results Are Better
"a",4.23,4.23,4.24
"b",4.21,4.23,4.23
"c",4.2,4.22,4.21
"OpenVINO 2024.0 - Model: Person Re-Identification Retail FP16 - Device: CPU",
Higher Results Are Better
"a",1885.06,1883.53,1880.7
"b",1891.88,1884.26,1885.51
"c",1896.32,1886.7,1891.69
"OpenVINO 2024.0 - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",4492.46,4464.63,4482.75
"b",4503.8,4504.88,4481.56
"c",4510.7,4495.03,4489.26
"OpenVINO 2024.0 - Model: Face Detection Retail FP16 - Device: CPU",
Lower Results Are Better
"a",2.52,2.52,2.51
"b",2.49,2.51,2.52
"c",2.51,2.51,2.51
"OpenVINO 2024.0 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",6.16,6.18,6.19
"b",6.16,6.18,6.18
"c",6.15,6.17,6.17
"OpenVINO 2024.0 - Model: Face Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",313.64,313.93,314.57
"b",313.45,312.54,314.3
"c",313.45,312.57,313.12
"OpenVINO 2024.0 - Model: Face Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",25.46,25.41,25.42
"b",25.48,25.55,25.4
"c",25.46,25.56,25.51
"OpenVINO 2024.0 - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",3.5,3.51,3.5
"b",3.49,3.49,3.51
"c",3.48,3.49,3.5
"OpenVINO 2024.0 - Model: Weld Porosity Detection FP16 - Device: CPU",
Higher Results Are Better
"a",1319.23,1315.43,1313.73
"b",1319.23,1315.19,1315.77
"c",1323.1,1317.82,1317.57
"OpenVINO 2024.0 - Model: Weld Porosity Detection FP16 - Device: CPU",
Lower Results Are Better
"a",12.1,12.14,12.15
"b",12.1,12.14,12.13
"c",12.07,12.11,12.11
"OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Higher Results Are Better
"a",34060.75,33997.22,33978.64
"b",34117.48,33938.46,33987.78
"c",34107.85,34100.71,34080.66
"OpenVINO 2024.0 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",20.82,20.8,20.94
"b",20.72,21,20.97
"c",20.84,20.95,20.79
"OpenVINO 2024.0 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",766.71,767.44,762.38
"b",770.23,760.22,761.08
"c",765.91,762.12,767.65
"OpenVINO 2024.0 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",2582.91,2576.08,2573.36
"b",2583.96,2575.9,2575.6
"c",2587.83,2581.01,2580.18
"OpenVINO 2024.0 - Model: Handwritten English Recognition FP16 - Device: CPU",
Higher Results Are Better
"a",707.77,710.79,715.33
"b",707.65,706.39,716.44
"c",699.8,718.84,716.08
"OpenVINO 2024.0 - Model: Handwritten English Recognition FP16 - Device: CPU",
Lower Results Are Better
"a",22.57,22.47,22.33
"b",22.57,22.61,22.29
"c",22.82,22.22,22.31
"OpenVINO 2024.0 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",1591.32,1593.63,1605.63
"b",1594.66,1593.72,1594.09
"c",1599.01,1597.55,1591.53
"OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",48347.71,48173.04,48133.66
"b",48321.6,48135.08,48179.21
"c",48398.43,48258.49,48108.79
"OpenVINO 2024.0 - Model: Noise Suppression Poconet-Like FP16 - Device: CPU",
Higher Results Are Better
"a",1588.24,1596.66,1588.44
"b",1594.89,1591.3,1590.49
"c",1591.18,1593.58,1589.6
"OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",0.29,0.29,0.29
"b",0.29,0.29,0.29
"c",0.29,0.29,0.29
"OpenVINO 2024.0 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Lower Results Are Better
"a",0.42,0.42,0.43
"b",0.42,0.42,0.42
"c",0.42,0.42,0.42
"OpenVINO 2024.0 - Model: Noise Suppression Poconet-Like FP16 - Device: CPU",
Lower Results Are Better
"a",9.89,9.84,9.89
"b",9.85,9.88,9.88
"c",9.87,9.86,9.88
"OpenVINO 2024.0 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",5,5,4.96
"b",4.99,5,4.99
"c",4.98,4.98,5