| Upload Date | April 16 2026 04:27 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW |
| Motherboard | ASUSTeK COMPUTER INC. GA403WW |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3145
584.9 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
99% |
7904
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11011
179.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8176
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6458
7.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
30098
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
3189
253.0 IPS |
|
|
Object Detection (HP)
|
100% |
850
67.4 IPS |
|
|
Object Detection (Q)
|
86% |
8172
656.8 IPS |
|
|
Face Detection (SP)
|
100% |
6527
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11728
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9372
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2984
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17158
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18619
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16449
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33066
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1418
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
1665
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1443
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3390
68.1 IPS |