openvino 2024

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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
March 06
  2 Hours, 4 Minutes
b
March 06
  2 Hours, 2 Minutes
c
March 06
  2 Hours, 2 Minutes
Invert Hiding All Results Option
  2 Hours, 2 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


openvino 2024, "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: 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: 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 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: 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: 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: 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: 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: 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 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: 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: 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: 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: 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: 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: 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: 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 "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: 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: 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: 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: 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: 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: 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-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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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