| User | songyipeng |
| Upload Date | October 26 2025 03:55 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MV_GU605MV |
| Motherboard | ASUSTeK COMPUTER INC. GU605MV |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
6516
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9161
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3131
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5366
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
30742
35.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
66694
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
5501
436.4 IPS |
|
|
Object Detection (Q)
|
88% |
9373
751.5 IPS |
|
|
Face Detection (SP)
|
100% |
5170
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
15876
188.6 IPS |
|
|
Face Detection (Q)
|
100% |
30000
356.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5333
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17701
136.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32801
255.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15407
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49268
63.3 IPS |
|
|
Style Transfer (Q)
|
98% |
89607
115.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2438
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14496
535.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28280
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1994
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4131
71.2 IPS |