| User | skrezer |
| Upload Date | October 31 2025 01:18 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | High 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1577
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
99% |
2846
530.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
3033
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
12109
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
86% |
2968
238.5 IPS |
|
|
Face Detection (SP)
|
100% |
4465
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (Q)
|
97% |
3835
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4096
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1079
8.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
8158
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7420
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
5381
6.92 IPS |
|
|
Style Transfer (Q)
|
98% |
13266
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2351
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.2 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.8 IPS |
|
|
Text Classification (Q)
|
97% |
227
304.6 IPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
65% |
1203
24.2 IPS |