| Upload Date | November 26 2025 06:59 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| 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% |
8554
1.59 KIPS |
|
|
Image Classification (HP)
|
99% |
12141
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
7560
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16060
260.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20593
333.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14472
235.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
135207
157.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
331760
387.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
129832
152.1 IPS |
|
|
Object Detection (SP)
|
100% |
10908
865.2 IPS |
|
|
Object Detection (HP)
|
100% |
14995
1.19 KIPS |
|
|
Object Detection (Q)
|
85% |
9423
758.0 IPS |
|
|
Face Detection (SP)
|
100% |
32856
390.4 IPS |
|
|
Face Detection (HP)
|
100% |
42469
504.6 IPS |
|
|
Face Detection (Q)
|
97% |
28436
339.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
54602
420.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104050
803.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
43758
349.4 IPS |
|
|
Style Transfer (SP)
|
100% |
259683
333.8 IPS |
|
|
Style Transfer (HP)
|
100% |
574248
738.2 IPS |
|
|
Style Transfer (Q)
|
98% |
223269
287.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36001
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48298
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27887
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1480
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3991
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3945
67.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1967
36.9 IPS |