| User | andreicr1 |
| Upload Date | May 02 2025 05:06 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV |
| Motherboard | ASUSTeK COMPUTER INC. GA403UV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3017
561.1 IPS |
|
|
Image Classification (HP)
|
100% |
4461
829.7 IPS |
|
|
Image Classification (Q)
|
100% |
2690
500.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4156
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4910
79.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3460
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37298
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
70939
82.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
28689
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
2720
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
3750
297.4 IPS |
|
|
Object Detection (Q)
|
87% |
2451
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
6325
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
11321
134.5 IPS |
|
|
Face Detection (Q)
|
97% |
5385
64.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18128
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26416
203.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13917
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
61900
79.6 IPS |
|
|
Style Transfer (HP)
|
100% |
111144
142.9 IPS |
|
|
Style Transfer (Q)
|
98% |
45900
59.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13099
483.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21738
802.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8887
329.1 IPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1772
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1733
32.5 IPS |