| Upload Date | November 09 2025 08:53 PM |
| Views | 2 |
| 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 G18 G815LW_G815LW |
| Motherboard | ASUSTeK COMPUTER INC. G815LW |
| Power Plan | Performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5520
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7162
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9964
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7447
120.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3566
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12180
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35125
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74290
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
5102
404.7 IPS |
|
|
Object Detection (HP)
|
100% |
6161
488.7 IPS |
|
|
Object Detection (Q)
|
88% |
10368
831.2 IPS |
|
|
Face Detection (SP)
|
100% |
15087
179.3 IPS |
|
|
Face Detection (HP)
|
100% |
18021
214.1 IPS |
|
|
Face Detection (Q)
|
100% |
33918
403.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13256
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18360
141.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
33902
263.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26815
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53220
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97149
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7103
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16327
602.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31378
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2193
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4754
81.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4789
82.5 IPS |