| User | domdtxdissar | 
| Upload Date | September 19 2024 07:49 PM | 
| Views | 9 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 7950X3D | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 4.20 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
1899
 353.1 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
519
 96.5 IPS  | 
|
| 
Image Classification (Q)
 | 
99% | 
4990
 930.8 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
2547
 41.3 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
889
 14.4 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
3622
 58.9 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
9946
 11.6 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
7585
 8.85 IPS  | 
|
| 
Pose Estimation (Q)
 | 
95% | 
42578
 49.9 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
2416
 191.7 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
728
 57.7 IPS  | 
|
| 
Object Detection (Q)
 | 
88% | 
2273
 182.2 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
3991
 47.4 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
1534
 18.2 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
6545
 78.0 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
9566
 73.7 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
2643
 20.4 IPS  | 
|
| 
Depth Estimation (Q)
 | 
77% | 
12365
 99.0 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
22145
 28.5 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
20979
 27.0 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
48732
 62.8 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
2663
 98.3 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
2363
 87.3 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
4420
 163.7 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
1675
 2.24 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
697
 931.0 IPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
506
 677.6 IPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
3228
 55.6 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
722
 12.4 IPS  | 
|
| 
Machine Translation (Q)
 | 
60% | 
3313
 73.9 IPS  |