| User | ysy |
| Upload Date | March 25 2026 06:59 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2769
514.9 IPS |
|
|
Image Classification (HP)
|
100% |
3942
733.1 IPS |
|
|
Image Classification (Q)
|
99% |
2036
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3368
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5427
88.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2333
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8455
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
13346
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
7568
8.87 IPS |
|
|
Object Detection (SP)
|
100% |
2942
233.3 IPS |
|
|
Object Detection (HP)
|
100% |
4431
351.5 IPS |
|
|
Object Detection (Q)
|
86% |
2209
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
5944
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
9377
111.4 IPS |
|
|
Face Detection (Q)
|
97% |
3892
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9967
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15463
119.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7164
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26407
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40708
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20599
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7342
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3308
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
678
907.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2446
42.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2642
45.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1028
19.3 IPS |