| Upload Date | November 11 2025 04:09 PM |
| Views | 6 |
| 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 A18 FA808UM_FA808UM |
| Motherboard | ASUSTeK COMPUTER INC. FA808UM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7096
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
12925
2.40 KIPS |
|
|
Image Classification (Q)
|
99% |
6775
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11981
194.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18049
292.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10671
173.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
80626
94.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
269990
315.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73420
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
9042
717.2 IPS |
|
|
Object Detection (HP)
|
100% |
16706
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
8196
657.7 IPS |
|
|
Face Detection (SP)
|
100% |
23185
275.5 IPS |
|
|
Face Detection (HP)
|
100% |
37178
441.8 IPS |
|
|
Face Detection (Q)
|
97% |
19494
232.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27709
213.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93620
721.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
32286
258.1 IPS |
|
|
Style Transfer (SP)
|
100% |
125828
161.8 IPS |
|
|
Style Transfer (HP)
|
100% |
451382
580.3 IPS |
|
|
Style Transfer (Q)
|
98% |
112861
145.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24160
892.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46804
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18807
696.4 IPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1929
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4032
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4486
77.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1696
31.8 IPS |