| Upload Date | November 28 2025 12:00 AM |
| Views | 5 |
| 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 SCAR 16 G635LX_G635LX |
| Motherboard | ASUSTeK COMPUTER INC. G635LX |
| 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% |
5539
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7072
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9983
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7719
125.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3985
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11715
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34300
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74801
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
5579
442.5 IPS |
|
|
Object Detection (HP)
|
100% |
6217
493.2 IPS |
|
|
Object Detection (Q)
|
87% |
10321
828.4 IPS |
|
|
Face Detection (SP)
|
100% |
15532
184.6 IPS |
|
|
Face Detection (HP)
|
100% |
17335
206.0 IPS |
|
|
Face Detection (Q)
|
100% |
29189
346.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14243
109.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18758
144.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34554
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32470
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51998
66.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95613
123.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7313
270.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14478
534.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26065
965.3 IPS |
|
|
Text Classification (SP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2222
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4542
78.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4522
77.9 IPS |