| Upload Date | September 22 2025 08:31 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Gaming Laptop 16-ah0xxx00047716JZ |
| Motherboard | HP 8D41 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3447
641.0 IPS |
|
|
Image Classification (HP)
|
100% |
7124
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9535
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5059
82.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3884
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9056
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33648
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
73242
85.8 IPS |
|
|
Object Detection (SP)
|
100% |
3534
280.3 IPS |
|
|
Object Detection (HP)
|
100% |
6179
490.1 IPS |
|
|
Object Detection (Q)
|
87% |
10068
808.0 IPS |
|
|
Face Detection (SP)
|
100% |
9123
108.4 IPS |
|
|
Face Detection (HP)
|
100% |
16698
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
28287
336.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8523
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18243
140.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34524
268.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17756
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51097
65.7 IPS |
|
|
Style Transfer (Q)
|
98% |
94204
121.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5020
185.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14278
527.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25800
955.5 IPS |
|
|
Text Classification (SP)
|
100% |
2590
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1958
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4374
75.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4376
75.4 IPS |