| User | gmn17 | 
| Upload Date | November 27 2024 12:01 AM | 
| Views | 6 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen Threadripper 3960X | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X | 
| Topology | 1 Processor, 24 Cores, 48 Threads | 
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 | 
| Base Frequency | 3.80 GHz | 
| Cluster 1 | 24 Cores | 
| Memory Information | |
|---|---|
| Size | 256.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
936
 174.0 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
295
 54.9 IPS  | 
|
| 
Image Classification (Q)
 | 
96% | 
1687
 315.0 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
730
 11.8 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
459
 7.43 IPS  | 
|
| 
Image Segmentation (Q)
 | 
97% | 
2006
 32.6 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
14465
 16.9 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
5586
 6.52 IPS  | 
|
| 
Pose Estimation (Q)
 | 
87% | 
12652
 14.9 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
1273
 101.0 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
392
 31.1 IPS  | 
|
| 
Object Detection (Q)
 | 
86% | 
852
 68.5 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
1860
 22.1 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
824
 9.79 IPS  | 
|
| 
Face Detection (Q)
 | 
96% | 
2513
 30.0 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
6046
 46.6 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
1634
 12.6 IPS  | 
|
| 
Depth Estimation (Q)
 | 
77% | 
4313
 34.5 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
19887
 25.6 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
14595
 18.8 IPS  | 
|
| 
Style Transfer (Q)
 | 
87% | 
15948
 20.8 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
1458
 53.8 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
1071
 39.6 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
97% | 
1366
 50.6 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
594
 792.7 IPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
282
 375.8 IPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
633
 848.4 IPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
990
 17.0 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
311
 5.36 IPS  | 
|
| 
Machine Translation (Q)
 | 
60% | 
1431
 31.9 IPS  |