| User | ysy |
| Upload Date | March 25 2026 07:04 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4001
744.0 IPS |
|
|
Image Classification (HP)
|
100% |
6193
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8155
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4070
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9292
150.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12227
198.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11593
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10987
12.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
36505
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (HP)
|
100% |
6016
477.2 IPS |
|
|
Object Detection (Q)
|
88% |
9477
759.5 IPS |
|
|
Face Detection (SP)
|
100% |
8309
98.7 IPS |
|
|
Face Detection (HP)
|
100% |
16369
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
24704
293.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12536
96.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
22524
174.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
25817
200.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30400
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38995
50.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91893
118.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9495
350.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15938
590.2 IPS |
|
|
Text Classification (SP)
|
71% |
1635
2.37 KIPS |
|
|
Text Classification (HP)
|
71% |
2664
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2739
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4298
74.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4295
74.2 IPS |