| User | rodrigo_rl |
| Upload Date | March 05 2026 04:31 PM |
| Views | 18 |
| Notes | ONNX DIRECTML RTX4050 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU |
| Motherboard | ASUSTeK COMPUTER INC. G614JU |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6357
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
11035
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
5728
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11028
178.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15954
258.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10141
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
75025
87.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
228628
266.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
66053
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
7705
611.2 IPS |
|
|
Object Detection (HP)
|
100% |
13628
1.08 KIPS |
|
|
Object Detection (Q)
|
84% |
6822
550.2 IPS |
|
|
Face Detection (SP)
|
100% |
17782
211.3 IPS |
|
|
Face Detection (HP)
|
100% |
31065
369.1 IPS |
|
|
Face Detection (Q)
|
97% |
15839
188.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36259
279.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71700
552.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
29884
239.1 IPS |
|
|
Style Transfer (SP)
|
100% |
122625
157.6 IPS |
|
|
Style Transfer (HP)
|
100% |
310469
399.1 IPS |
|
|
Style Transfer (Q)
|
98% |
110516
142.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25937
957.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41578
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18585
688.2 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1755
32.9 IPS |