| User | hitch22 |
| Upload Date | November 01 2025 10:00 AM |
| Views | 23 |
| 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% |
7038
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
12951
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
6650
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12256
198.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19844
321.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11530
187.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
78700
91.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
267191
311.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
71697
84.0 IPS |
|
|
Object Detection (SP)
|
100% |
9196
729.4 IPS |
|
|
Object Detection (HP)
|
100% |
17261
1.37 KIPS |
|
|
Object Detection (Q)
|
87% |
8253
662.3 IPS |
|
|
Face Detection (SP)
|
100% |
23456
278.7 IPS |
|
|
Face Detection (HP)
|
100% |
38676
459.6 IPS |
|
|
Face Detection (Q)
|
97% |
20461
244.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41959
323.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93363
719.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
35148
281.0 IPS |
|
|
Style Transfer (SP)
|
100% |
125051
160.8 IPS |
|
|
Style Transfer (HP)
|
100% |
445438
572.6 IPS |
|
|
Style Transfer (Q)
|
98% |
106290
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23778
878.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46749
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18705
692.6 IPS |
|
|
Text Classification (SP)
|
100% |
2867
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1901
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1780
33.4 IPS |