| User | dlcgpdeson |
| Upload Date | February 12 2025 05:23 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G513QM_G513QM |
| Motherboard | ASUSTeK COMPUTER INC. G513QM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
505
93.9 IPS |
|
|
Image Classification (Q)
|
96% |
4873
910.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2456
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4524
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3755
4.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
10806
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.4 IPS |
|
|
Object Detection (Q)
|
58% |
3109
339.7 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (Q)
|
96% |
6890
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6311
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2006
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9733
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11010
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9427
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
12984
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2468
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.3 IPS |
|
|
Text Classification (Q)
|
97% |
1427
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2085
40.3 IPS |