| User | rrevi |
| Upload Date | January 15 2026 04:22 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR |
| Motherboard | ASUSTeK COMPUTER INC. GU605CR |
| Power Plan | Balanced |
| 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% |
4558
847.6 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (Q)
|
99% |
9241
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11310
183.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9659
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6857
8.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
32378
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4126
327.3 IPS |
|
|
Object Detection (HP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (Q)
|
86% |
9646
775.2 IPS |
|
|
Face Detection (SP)
|
100% |
11846
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
11979
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12170
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3201
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19821
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22427
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15985
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27791
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2869
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6500
240.7 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1706
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4154
83.5 IPS |