| Upload Date | December 02 2025 11:01 AM |
| Views | 7 |
| 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 | 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5148
957.5 IPS |
|
|
Image Classification (HP)
|
100% |
7122
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9991
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7176
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3415
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11297
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34140
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75148
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
5016
397.9 IPS |
|
|
Object Detection (HP)
|
100% |
6146
487.5 IPS |
|
|
Object Detection (Q)
|
88% |
10346
829.4 IPS |
|
|
Face Detection (SP)
|
100% |
14352
170.5 IPS |
|
|
Face Detection (HP)
|
100% |
18808
223.5 IPS |
|
|
Face Detection (Q)
|
100% |
34103
405.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12622
97.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18514
142.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34043
264.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34513
44.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54156
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97628
125.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6748
249.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16147
596.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31340
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2144
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2164
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4703
81.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4793
82.6 IPS |