| User | battusujith |
| Upload Date | April 19 2025 06:32 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G513IC_G513IC |
| Motherboard | ASUSTeK COMPUTER INC. G513IC |
| Power Plan | 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
735
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.1 IPS |
|
|
Image Classification (Q)
|
100% |
675
125.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
789
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8545
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15676
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
7643
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
872
69.1 IPS |
|
|
Object Detection (HP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
86% |
793
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3879
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4969
38.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3156
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15766
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26136
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
12413
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3404
125.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2447
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
519
695.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (Q)
|
70% |
656
12.3 IPS |