| Upload Date | November 26 2025 06:56 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 | Turbo |
| 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
99% |
4482
836.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6722
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4910
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
19058
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.2 IPS |
|
|
Object Detection (Q)
|
86% |
4649
373.6 IPS |
|
|
Face Detection (SP)
|
100% |
6720
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
8039
95.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6629
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1828
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12210
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12465
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7741
9.95 IPS |
|
|
Style Transfer (Q)
|
98% |
18664
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2352
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4488
166.2 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
666
889.0 IPS |
|
|
Text Classification (Q)
|
97% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2371
47.6 IPS |