| User | domdtxdissar | 
| Upload Date | March 15 2025 12:49 PM | 
| Views | 7 | 
| 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% | 
9696
 1.80 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
9768
 1.82 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
20083
 3.73 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
9517
 154.3 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
9529
 154.5 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
20420
 331.0 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
19540
 22.8 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
19477
 22.7 IPS  | 
|
| 
Pose Estimation (Q)
 | 
98% | 
76620
 89.7 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
9992
 792.6 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
10033
 795.8 IPS  | 
|
| 
Object Detection (Q)
 | 
88% | 
22943
 1.84 KIPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
30453
 361.8 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
30380
 361.0 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
55687
 661.7 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
25382
 195.6 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
25306
 195.0 IPS  | 
|
| 
Depth Estimation (Q)
 | 
88% | 
66015
 513.7 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
55186
 70.9 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
55396
 71.2 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
194808
 251.2 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
12227
 451.5 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
11842
 437.3 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
34931
 1.29 KIPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
7308
 9.75 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
7328
 9.78 KIPS  | 
|
| 
Text Classification (Q)
 | 
92% | 
9437
 12.7 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
10209
 175.9 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
10214
 175.9 IPS  | 
|
| 
Machine Translation (Q)
 | 
100% | 
11419
 196.7 IPS  |