| User | TAY-REMEMBERED |
| Upload Date | April 08 2025 03:42 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700 CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G5 Desktop Mini |
| Motherboard | HP 8594 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.7 IPS |
|
|
Image Classification (Q)
|
100% |
3509
652.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3984
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4787
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4826
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
9061
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.1 IPS |
|
|
Object Detection (HP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (Q)
|
87% |
3467
278.1 IPS |
|
|
Face Detection (SP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3858
45.8 IPS |
|
|
Face Detection (Q)
|
97% |
9403
112.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5795
44.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
9302
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12931
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12799
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25923
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2734
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5175
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
91% |
741
996.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2933
50.5 IPS |