| User | jordatech |
| Upload Date | April 15 2026 03:02 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82XX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1687
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (Q)
|
100% |
4149
771.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3576
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3783
4.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
9507
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (HP)
|
100% |
1797
142.6 IPS |
|
|
Object Detection (Q)
|
87% |
3379
271.0 IPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
11213
133.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5294
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4898
37.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
10674
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12466
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11758
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27618
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2282
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2302
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5780
214.1 IPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
91% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2339
40.3 IPS |