| User | smart1978 |
| Upload Date | November 19 2025 06:17 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX |
| Motherboard | ASUSTeK COMPUTER INC. G635LX |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3960
736.5 IPS |
|
|
Image Classification (HP)
|
100% |
7044
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9467
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5175
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3904
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7420
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
33892
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73957
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
3742
296.8 IPS |
|
|
Object Detection (HP)
|
100% |
6098
483.7 IPS |
|
|
Object Detection (Q)
|
87% |
10104
811.0 IPS |
|
|
Face Detection (SP)
|
100% |
11618
138.0 IPS |
|
|
Face Detection (HP)
|
100% |
16103
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
27699
329.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9556
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18130
139.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34718
270.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21829
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51589
66.3 IPS |
|
|
Style Transfer (Q)
|
98% |
95199
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4619
170.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14544
537.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26566
983.9 IPS |
|
|
Text Classification (SP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2156
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4505
77.6 IPS |