| User | domdtxdissar | 
| Upload Date | March 12 2025 07:05 PM | 
| Views | 12 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Eng Sample: 100-000000719-52_Y | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX | 
| Power Plan | Balansert | 
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000719-52_Y | 
| Topology | 1 Processor, 8 Cores | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.00 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
9380
 1.74 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
9322
 1.73 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
19736
 3.67 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
9252
 150.0 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
9205
 149.2 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
20123
 326.2 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
18738
 21.9 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
18811
 21.9 IPS  | 
|
| 
Pose Estimation (Q)
 | 
98% | 
73685
 86.3 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
9603
 761.7 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
9655
 765.9 IPS  | 
|
| 
Object Detection (Q)
 | 
88% | 
22184
 1.78 KIPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
29672
 352.6 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
29760
 353.6 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
54656
 649.4 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
25357
 195.4 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
25487
 196.4 IPS  | 
|
| 
Depth Estimation (Q)
 | 
88% | 
64626
 502.9 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
53289
 68.5 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
52043
 66.9 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
180827
 233.2 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
11756
 434.1 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
11781
 435.0 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
34374
 1.27 KIPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
7089
 9.46 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
7141
 9.53 KIPS  | 
|
| 
Text Classification (Q)
 | 
92% | 
9362
 12.6 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
9991
 172.1 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
9888
 170.3 IPS  | 
|
| 
Machine Translation (Q)
 | 
100% | 
11289
 194.5 IPS  |