| User | markerichannelly |
| Upload Date | August 12 2025 02:52 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU |
| Motherboard | ASUSTeK COMPUTER INC. FA507NU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5905
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
10725
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
5290
986.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10690
173.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15517
251.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9695
157.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
71601
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
222375
259.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
61922
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
7618
604.2 IPS |
|
|
Object Detection (HP)
|
100% |
13103
1.04 KIPS |
|
|
Object Detection (Q)
|
84% |
6477
522.4 IPS |
|
|
Face Detection (SP)
|
100% |
16755
199.1 IPS |
|
|
Face Detection (HP)
|
100% |
28459
338.2 IPS |
|
|
Face Detection (Q)
|
97% |
14858
177.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34015
262.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
70163
540.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
28377
227.0 IPS |
|
|
Style Transfer (SP)
|
100% |
118113
151.8 IPS |
|
|
Style Transfer (HP)
|
100% |
293621
377.5 IPS |
|
|
Style Transfer (Q)
|
98% |
102832
132.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24096
889.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38566
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17770
658.0 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
2895
3.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1689
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3861
66.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1544
29.0 IPS |