| User | domdtxdissar |
| Upload Date | March 12 2025 07:05 PM |
| Views | 16 |
| 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 |