| User | akemin_dayo |
| Upload Date | May 06 2025 04:46 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3351
623.1 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
100% |
5009
931.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4078
66.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4167
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5971
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6301
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
12981
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
3149
249.7 IPS |
|
|
Object Detection (HP)
|
100% |
3207
254.4 IPS |
|
|
Object Detection (Q)
|
87% |
5073
406.9 IPS |
|
|
Face Detection (SP)
|
100% |
10231
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
10539
125.2 IPS |
|
|
Face Detection (Q)
|
97% |
15066
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8126
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7940
61.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
13984
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16419
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18380
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36099
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7526
278.8 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (Q)
|
91% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4907
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4740
81.6 IPS |