| Upload Date | November 09 2025 09:10 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G513IH_G513IH |
| Motherboard | ASUSTeK COMPUTER INC. G513IH |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2732
508.1 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.7 IPS |
|
|
Image Classification (Q)
|
99% |
2376
443.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4406
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3768
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25856
30.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16393
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
22708
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
3176
251.9 IPS |
|
|
Object Detection (HP)
|
100% |
2950
234.0 IPS |
|
|
Object Detection (Q)
|
83% |
2723
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
7345
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
5997
71.3 IPS |
|
|
Face Detection (Q)
|
97% |
6350
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15298
117.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11539
88.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11808
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
46348
59.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31174
40.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39441
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9370
346.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7249
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6376
236.1 IPS |
|
|
Text Classification (SP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
853
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2137
36.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1001
18.8 IPS |