| Upload Date | November 28 2025 12:02 AM |
| Views | 3 |
| 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% |
5500
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
7267
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10422
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7942
128.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3957
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11758
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34313
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75359
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
5503
436.5 IPS |
|
|
Object Detection (HP)
|
100% |
6195
491.4 IPS |
|
|
Object Detection (Q)
|
87% |
10162
815.6 IPS |
|
|
Face Detection (SP)
|
100% |
15679
186.3 IPS |
|
|
Face Detection (HP)
|
100% |
16693
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
28889
343.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13819
106.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18643
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34652
269.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33906
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51753
66.5 IPS |
|
|
Style Transfer (Q)
|
98% |
95373
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6960
257.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14420
532.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26772
991.5 IPS |
|
|
Text Classification (SP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2330
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4467
76.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4519
77.8 IPS |