| User | Maximum_Game |
| Upload Date | October 09 2025 10:14 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX |
| Motherboard | ASUSTeK COMPUTER INC. G835LX |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5369
998.5 IPS |
|
|
Image Classification (HP)
|
100% |
5319
989.1 IPS |
|
|
Image Classification (Q)
|
100% |
9780
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7442
120.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7467
121.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12373
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9986
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
23516
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4218
334.6 IPS |
|
|
Object Detection (HP)
|
100% |
5067
401.9 IPS |
|
|
Object Detection (Q)
|
88% |
8165
654.5 IPS |
|
|
Face Detection (SP)
|
100% |
14518
172.5 IPS |
|
|
Face Detection (HP)
|
100% |
15103
179.5 IPS |
|
|
Face Detection (Q)
|
100% |
22518
267.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12613
97.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12866
99.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
17536
136.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26485
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26455
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
60283
77.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6741
248.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6215
229.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9247
342.5 IPS |
|
|
Text Classification (SP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (Q)
|
92% |
6014
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3496
60.2 IPS |