| Upload Date | November 12 2025 07:17 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G615LW_G615LW |
| Motherboard | ASUSTeK COMPUTER INC. G615LW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5697
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
6652
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9708
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8241
133.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3834
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14345
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32997
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
71532
83.8 IPS |
|
|
Object Detection (SP)
|
100% |
5315
421.6 IPS |
|
|
Object Detection (HP)
|
100% |
5350
424.4 IPS |
|
|
Object Detection (Q)
|
87% |
9471
760.1 IPS |
|
|
Face Detection (SP)
|
100% |
14923
177.3 IPS |
|
|
Face Detection (HP)
|
100% |
12586
149.5 IPS |
|
|
Face Detection (Q)
|
100% |
23439
278.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13092
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13277
102.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
25700
200.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26559
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40140
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
76018
98.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8820
325.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13172
486.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24854
920.4 IPS |
|
|
Text Classification (SP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2106
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4008
69.0 IPS |