| User | domdtxdissar |
| Upload Date | March 15 2025 12:46 PM |
| Views | 11 |
| 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% |
9673
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9647
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
20088
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9531
154.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9494
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20486
332.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19289
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18975
22.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
75500
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
9876
783.4 IPS |
|
|
Object Detection (HP)
|
100% |
9938
788.3 IPS |
|
|
Object Detection (Q)
|
88% |
22923
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
30306
360.1 IPS |
|
|
Face Detection (HP)
|
100% |
30432
361.6 IPS |
|
|
Face Detection (Q)
|
100% |
55913
664.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25940
199.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25623
197.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
65502
509.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53046
68.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54893
70.6 IPS |
|
|
Style Transfer (Q)
|
98% |
192958
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12020
443.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12001
443.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34890
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7302
9.75 KIPS |
|
|
Text Classification (HP)
|
100% |
7305
9.75 KIPS |
|
|
Text Classification (Q)
|
92% |
9591
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
9954
171.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10172
175.2 IPS |
|
|
Machine Translation (Q)
|
100% |
11612
200.0 IPS |