| User | ysy |
| Upload Date | March 25 2026 07:07 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW |
| Motherboard | ASUSTeK COMPUTER INC. G815LW |
| Power Plan | Turbo |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5696
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
7358
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10458
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7823
126.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3466
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13507
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34029
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75057
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
5312
421.3 IPS |
|
|
Object Detection (HP)
|
100% |
6167
489.2 IPS |
|
|
Object Detection (Q)
|
88% |
10453
838.0 IPS |
|
|
Face Detection (SP)
|
100% |
15331
182.2 IPS |
|
|
Face Detection (HP)
|
100% |
18643
221.5 IPS |
|
|
Face Detection (Q)
|
100% |
33670
400.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13690
105.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18887
145.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34058
265.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29640
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54944
70.6 IPS |
|
|
Style Transfer (Q)
|
98% |
99247
128.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7850
289.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16338
603.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32102
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2280
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4684
80.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4729
81.5 IPS |