| Upload Date | December 10 2025 06:18 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MV_GU605MV |
| Motherboard | ASUSTeK COMPUTER INC. GU605MV |
| Power Plan | Balanced |
| 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% |
6226
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
10687
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
5765
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11699
189.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16211
262.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10266
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81628
95.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
240161
280.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
73552
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
7878
624.9 IPS |
|
|
Object Detection (HP)
|
100% |
14191
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
7163
577.7 IPS |
|
|
Face Detection (SP)
|
100% |
20102
238.9 IPS |
|
|
Face Detection (HP)
|
100% |
30791
365.9 IPS |
|
|
Face Detection (Q)
|
97% |
17423
207.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39471
304.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
76004
585.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
32282
258.3 IPS |
|
|
Style Transfer (SP)
|
100% |
131820
169.5 IPS |
|
|
Style Transfer (HP)
|
100% |
320133
411.5 IPS |
|
|
Style Transfer (Q)
|
98% |
117531
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24434
902.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39441
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19413
718.8 IPS |
|
|
Text Classification (SP)
|
100% |
2491
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2813
3.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1517
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3869
66.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1749
32.8 IPS |