| Upload Date | August 28 2025 09:58 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-1345U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G10 Notebook PC |
| Motherboard | HP 8B41 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1345U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
1209
224.9 IPS |
|
|
Image Classification (Q)
|
100% |
2693
500.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3357
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3334
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3063
3.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
7267
8.51 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (Q)
|
88% |
2700
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
7205
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3735
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3299
25.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
7543
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7605
9.78 IPS |
|
|
Style Transfer (HP)
|
100% |
7441
9.57 IPS |
|
|
Style Transfer (Q)
|
98% |
20178
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3728
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1589
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
2280
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1692
29.1 IPS |