| Upload Date | September 02 2025 09:57 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 6 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8DEB |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
6608
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9155
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3574
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3089
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
31963
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
67645
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
5691
451.5 IPS |
|
|
Object Detection (Q)
|
87% |
9193
737.8 IPS |
|
|
Face Detection (SP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
14575
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
27811
330.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3678
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16617
128.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31509
245.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8511
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46704
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
86733
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13140
485.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22272
824.8 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1888
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3966
68.3 IPS |