| Upload Date | April 21 2025 07:32 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | 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% |
5152
958.1 IPS |
|
|
Image Classification (HP)
|
100% |
7116
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9802
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7306
118.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3996
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10674
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34330
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75259
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
3542
280.9 IPS |
|
|
Object Detection (HP)
|
100% |
6190
491.0 IPS |
|
|
Object Detection (Q)
|
87% |
10175
816.6 IPS |
|
|
Face Detection (SP)
|
100% |
14146
168.1 IPS |
|
|
Face Detection (HP)
|
100% |
16677
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
28782
342.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12933
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18625
143.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34178
265.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32693
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52175
67.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94700
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6588
243.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14425
532.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26578
984.3 IPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2208
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4477
77.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4585
79.0 IPS |