| Upload Date | December 12 2025 11:21 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 4 G1i 16 inch Notebook AI PC |
| Motherboard | HP 8DEA |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (HP)
|
100% |
6194
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
9003
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2608
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3542
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3955
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
31163
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
66900
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
100% |
5014
397.7 IPS |
|
|
Object Detection (Q)
|
87% |
8657
694.8 IPS |
|
|
Face Detection (SP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
12003
142.6 IPS |
|
|
Face Detection (Q)
|
100% |
24443
290.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4631
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12489
96.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
24296
189.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11566
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37159
47.8 IPS |
|
|
Style Transfer (Q)
|
98% |
70136
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12119
447.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20543
760.8 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1938
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3695
63.6 IPS |