| User | TAY-REMEMBERED |
| Upload Date | July 13 2025 11:50 AM |
| Views | 11 |
| 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% |
1134
210.9 IPS |
|
|
Image Classification (HP)
|
100% |
1137
211.5 IPS |
|
|
Image Classification (Q)
|
100% |
1719
319.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1886
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3139
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
4845
5.68 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (Q)
|
87% |
1974
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
4875
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3010
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
5009
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7425
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
7219
9.28 IPS |
|
|
Style Transfer (Q)
|
98% |
15274
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1388
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2647
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (Q)
|
91% |
559
751.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1695
29.2 IPS |