| Upload Date | November 26 2025 06:53 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY |
| Motherboard | ASUSTeK COMPUTER INC. GU605MY |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2415
449.0 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
4477
835.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7097
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4773
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2853
3.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
19173
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
4273
343.4 IPS |
|
|
Face Detection (SP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
7964
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5797
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1568
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11404
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11627
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6414
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
18055
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4129
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.4 IPS |
|
|
Text Classification (Q)
|
97% |
1168
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2165
43.5 IPS |