| User | Paslik19 |
| Upload Date | March 04 2026 07:58 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G713QE_G713QE |
| Motherboard | ASUSTeK COMPUTER INC. G713QE |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4388
816.0 IPS |
|
|
Image Classification (HP)
|
99% |
7858
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
3571
666.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6224
100.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9629
156.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5135
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
49546
57.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
163265
190.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
40695
47.7 IPS |
|
|
Object Detection (SP)
|
100% |
5028
398.8 IPS |
|
|
Object Detection (HP)
|
100% |
9414
746.8 IPS |
|
|
Object Detection (Q)
|
84% |
4067
328.0 IPS |
|
|
Face Detection (SP)
|
100% |
10740
127.6 IPS |
|
|
Face Detection (HP)
|
100% |
18264
217.0 IPS |
|
|
Face Detection (Q)
|
97% |
8958
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25671
197.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
53173
410.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
18439
147.9 IPS |
|
|
Style Transfer (SP)
|
100% |
84496
108.6 IPS |
|
|
Style Transfer (HP)
|
100% |
208535
268.1 IPS |
|
|
Style Transfer (Q)
|
98% |
66245
85.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15826
584.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27261
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9404
348.2 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1156
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2794
48.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1225
23.0 IPS |