| User | Death_Angel_83 |
| Upload Date | October 26 2024 09:47 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G713QR_G713QR |
| Motherboard | ASUSTeK COMPUTER INC. G713QR |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1096
203.8 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.1 IPS |
|
|
Image Classification (Q)
|
96% |
2226
415.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1658
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3143
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2670
3.11 IPS |
|
|
Pose Estimation (Q)
|
87% |
9106
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
86% |
1185
95.3 IPS |
|
|
Face Detection (SP)
|
100% |
1384
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.45 IPS |
|
|
Face Detection (Q)
|
96% |
2552
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3558
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1414
10.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3881
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7984
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6915
8.89 IPS |
|
|
Style Transfer (Q)
|
87% |
10112
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2152
79.8 IPS |
|
|
Text Classification (SP)
|
100% |
1184
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
479
638.8 IPS |
|
|
Text Classification (Q)
|
97% |
368
493.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1257
28.0 IPS |