| Upload Date | February 24 2026 06:17 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP ZBook 8 G1i 14 inch Mobile Workstation PC |
| Motherboard | HP 8D94 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
6584
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9567
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3292
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2589
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5856
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
32911
38.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
68974
80.8 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
5407
428.9 IPS |
|
|
Object Detection (Q)
|
88% |
9423
755.4 IPS |
|
|
Face Detection (SP)
|
100% |
6138
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
13646
162.1 IPS |
|
|
Face Detection (Q)
|
100% |
26540
315.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6578
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13192
101.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
25858
201.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16399
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40142
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
76117
98.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3078
113.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15242
562.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28874
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1747
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4069
70.1 IPS |