| Upload Date | November 17 2025 09:44 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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% |
5535
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
9796
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
5644
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7984
129.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10462
169.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7940
129.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
84523
98.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
222375
259.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73747
86.4 IPS |
|
|
Object Detection (SP)
|
100% |
7230
573.5 IPS |
|
|
Object Detection (HP)
|
100% |
11353
900.5 IPS |
|
|
Object Detection (Q)
|
84% |
6584
531.0 IPS |
|
|
Face Detection (SP)
|
100% |
15271
181.4 IPS |
|
|
Face Detection (HP)
|
100% |
23287
276.7 IPS |
|
|
Face Detection (Q)
|
97% |
14222
169.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40730
313.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
74368
573.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
33789
270.3 IPS |
|
|
Style Transfer (SP)
|
100% |
135708
174.5 IPS |
|
|
Style Transfer (HP)
|
100% |
309920
398.4 IPS |
|
|
Style Transfer (Q)
|
98% |
122022
157.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25967
958.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39167
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19839
734.6 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
3309
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1823
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1513
28.4 IPS |