| Upload Date | November 09 2025 12:10 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA |
| Motherboard | ASUSTeK COMPUTER INC. M5506WA |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4408
819.7 IPS |
|
|
Image Classification (HP)
|
100% |
5927
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
4437
825.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7275
117.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8931
144.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7465
121.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
95061
110.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
221129
258.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
87293
102.3 IPS |
|
|
Object Detection (SP)
|
100% |
5406
428.8 IPS |
|
|
Object Detection (HP)
|
100% |
6985
554.1 IPS |
|
|
Object Detection (Q)
|
83% |
5029
406.3 IPS |
|
|
Face Detection (SP)
|
100% |
10759
127.8 IPS |
|
|
Face Detection (HP)
|
100% |
12882
153.1 IPS |
|
|
Face Detection (Q)
|
97% |
10372
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
39383
303.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
64482
496.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
29424
234.9 IPS |
|
|
Style Transfer (SP)
|
100% |
135412
174.1 IPS |
|
|
Style Transfer (HP)
|
100% |
334933
430.6 IPS |
|
|
Style Transfer (Q)
|
98% |
117760
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28682
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48462
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21135
782.6 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2001
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2175
37.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1222
22.9 IPS |