| Upload Date | November 14 2025 09:09 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM |
| Motherboard | ASUSTeK COMPUTER INC. FA401KM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7575
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
14720
2.74 KIPS |
|
|
Image Classification (Q)
|
99% |
7133
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12635
204.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20322
329.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11824
192.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
80959
94.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
265347
309.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
71728
84.0 IPS |
|
|
Object Detection (SP)
|
100% |
9593
760.9 IPS |
|
|
Object Detection (HP)
|
100% |
18702
1.48 KIPS |
|
|
Object Detection (Q)
|
87% |
8305
666.5 IPS |
|
|
Face Detection (SP)
|
100% |
22703
269.8 IPS |
|
|
Face Detection (HP)
|
100% |
40193
477.6 IPS |
|
|
Face Detection (Q)
|
97% |
19381
231.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
40430
311.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88674
683.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
31345
250.6 IPS |
|
|
Style Transfer (SP)
|
100% |
126763
163.0 IPS |
|
|
Style Transfer (HP)
|
100% |
452606
581.8 IPS |
|
|
Style Transfer (Q)
|
98% |
109880
141.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24594
908.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51187
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19402
718.4 IPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2008
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1662
31.2 IPS |