| User | gsidedgdb |
| Upload Date | October 19 2025 07:04 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 120U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook 5 Flip Laptop 14-fp0xxx |
| Motherboard | HP 8E03 |
| CPU Information | |
|---|---|
| Name | Intel Core 5 120U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.6 IPS |
|
|
Image Classification (HP)
|
100% |
1159
215.6 IPS |
|
|
Image Classification (Q)
|
100% |
2709
503.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2570
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3161
3.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
7524
8.81 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (Q)
|
88% |
2644
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (Q)
|
100% |
6904
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3564
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3568
27.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
7331
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9191
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9145
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25305
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3668
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
1352
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2433
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1851
31.9 IPS |