| User | gmn17 | 
| Upload Date | September 14 2025 04:02 AM | 
| Views | 3 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen Threadripper 3960X 24-Core Processor | 
| 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 | AMD Ryzen 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% | 
2737
 508.9 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
2626
 488.3 IPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
3999
 743.7 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
2560
 41.5 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
2576
 41.8 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
8210
 133.5 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
14272
 16.7 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
14344
 16.7 IPS  | 
|
| 
Pose Estimation (Q)
 | 
94% | 
18355
 21.5 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
3191
 253.1 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
3146
 249.6 IPS  | 
|
| 
Object Detection (Q)
 | 
87% | 
4934
 395.7 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
6731
 80.0 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
6812
 80.9 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
16633
 198.3 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
8416
 64.8 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
8543
 65.8 IPS  | 
|
| 
Depth Estimation (Q)
 | 
81% | 
13569
 107.0 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
38570
 49.6 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
37180
 47.8 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
51526
 66.4 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
6664
 246.1 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
6613
 244.2 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
98% | 
8394
 310.9 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
1734
 2.31 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
1709
 2.28 KIPS  | 
|
| 
Text Classification (Q)
 | 
91% | 
102
 137.0 IPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
1409
 24.3 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
1412
 24.3 IPS  | 
|
| 
Machine Translation (Q)
 | 
100% | 
1175
 20.2 IPS  |