| 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 |