| User | Betancd |
| Upload Date | March 17 2026 03:05 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW |
| Motherboard | ASUSTeK COMPUTER INC. GU605CW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
99% |
4297
801.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2767
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4951
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
16218
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
86% |
3878
311.6 IPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
6830
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5964
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1778
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9629
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13173
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8361
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16778
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3282
121.5 IPS |
|
|
Text Classification (SP)
|
100% |
1153
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
651
868.9 IPS |
|
|
Text Classification (Q)
|
97% |
1498
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (Q)
|
65% |
2054
41.3 IPS |