| User | rydawg |
| Upload Date | August 26 2025 07:03 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2835
527.3 IPS |
|
|
Image Classification (HP)
|
100% |
2798
520.3 IPS |
|
|
Image Classification (Q)
|
100% |
8151
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3117
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3317
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8885
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5778
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5548
6.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
22507
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (HP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (Q)
|
88% |
8677
695.5 IPS |
|
|
Face Detection (SP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (HP)
|
100% |
6044
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
22424
266.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8048
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7966
61.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
21354
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15651
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15749
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
60831
78.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3427
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3308
122.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11385
421.6 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5100
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4667
80.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6506
112.1 IPS |