| Upload Date | December 08 2025 06:41 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 270 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UH_GA403UH |
| Motherboard | ASUSTeK COMPUTER INC. GA403UH |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 270 w/ Radeon 780M Graphics |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2390
444.4 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (Q)
|
99% |
6215
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7638
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4236
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4455
5.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
22225
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.2 IPS |
|
|
Object Detection (Q)
|
86% |
7213
579.7 IPS |
|
|
Face Detection (SP)
|
100% |
5084
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
6407
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5731
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2040
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6937
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13906
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11406
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25800
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5776
213.9 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
813
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1792
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3118
62.7 IPS |