| User | hitch22 |
| Upload Date | November 01 2025 10:11 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401UM_FA401UM |
| Motherboard | ASUSTeK COMPUTER INC. FA401UM |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7050
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
12789
2.38 KIPS |
|
|
Image Classification (Q)
|
99% |
6640
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12611
204.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20125
326.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11479
186.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
80271
93.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
267534
312.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
72504
84.9 IPS |
|
|
Object Detection (SP)
|
100% |
9152
726.0 IPS |
|
|
Object Detection (HP)
|
100% |
16855
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
8265
663.3 IPS |
|
|
Face Detection (SP)
|
100% |
23159
275.2 IPS |
|
|
Face Detection (HP)
|
100% |
37722
448.2 IPS |
|
|
Face Detection (Q)
|
97% |
20384
243.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
42423
326.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
91721
706.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
34859
278.7 IPS |
|
|
Style Transfer (SP)
|
100% |
127055
163.3 IPS |
|
|
Style Transfer (HP)
|
100% |
442033
568.2 IPS |
|
|
Style Transfer (Q)
|
98% |
108154
139.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23801
878.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46373
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19043
705.1 IPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1808
33.9 IPS |