| Upload Date | September 03 2025 10:20 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 18 G835LW_G835LW |
| Motherboard | ASUSTeK COMPUTER INC. G835LW |
| 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% |
4417
821.4 IPS |
|
|
Image Classification (HP)
|
100% |
7079
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9838
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6730
109.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3947
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34171
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74547
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
4110
326.0 IPS |
|
|
Object Detection (HP)
|
100% |
6177
490.0 IPS |
|
|
Object Detection (Q)
|
87% |
10160
815.4 IPS |
|
|
Face Detection (SP)
|
100% |
13632
162.0 IPS |
|
|
Face Detection (HP)
|
100% |
16606
197.3 IPS |
|
|
Face Detection (Q)
|
100% |
28903
343.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10927
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18497
142.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34731
270.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25760
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51706
66.5 IPS |
|
|
Style Transfer (Q)
|
98% |
95371
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14358
530.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25927
960.2 IPS |
|
|
Text Classification (SP)
|
100% |
3907
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2152
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4456
76.7 IPS |