| Upload Date | October 29 2025 09:54 AM |
| Views | 3 |
| 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 | Performance |
| 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% |
7502
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
14575
2.71 KIPS |
|
|
Image Classification (Q)
|
99% |
7073
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12925
209.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19691
319.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11714
190.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
77300
90.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
261319
304.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
69813
81.8 IPS |
|
|
Object Detection (SP)
|
100% |
9326
739.7 IPS |
|
|
Object Detection (HP)
|
100% |
18505
1.47 KIPS |
|
|
Object Detection (Q)
|
87% |
8258
662.8 IPS |
|
|
Face Detection (SP)
|
100% |
22269
264.6 IPS |
|
|
Face Detection (HP)
|
100% |
40282
478.6 IPS |
|
|
Face Detection (Q)
|
97% |
19975
238.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38406
295.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
92875
715.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
30531
244.1 IPS |
|
|
Style Transfer (SP)
|
100% |
123717
159.0 IPS |
|
|
Style Transfer (HP)
|
100% |
425877
547.5 IPS |
|
|
Style Transfer (Q)
|
98% |
102379
132.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23601
871.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50608
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18865
698.5 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1977
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4288
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5210
89.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1820
34.1 IPS |