| User | 07VFDInLCD |
| Upload Date | June 15 2025 12:06 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Slim Desktop S01-pF1xxx |
| Motherboard | HP 8768 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1610
299.3 IPS |
|
|
Image Classification (HP)
|
100% |
1674
311.4 IPS |
|
|
Image Classification (Q)
|
100% |
2649
492.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2963
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3596
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
7138
8.37 IPS |
|
|
Object Detection (SP)
|
100% |
1655
131.3 IPS |
|
|
Object Detection (HP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (Q)
|
87% |
2749
220.5 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
5885
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4358
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4391
33.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
7494
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10195
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10105
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19854
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4150
153.7 IPS |
|
|
Text Classification (SP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1822
2.43 KIPS |
|
|
Text Classification (Q)
|
91% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2591
44.6 IPS |