| User | SpaceAceTACP |
| Upload Date | September 04 2025 06:29 AM |
| Views | 8 |
| 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% |
3172
590.0 IPS |
|
|
Image Classification (HP)
|
100% |
3175
590.4 IPS |
|
|
Image Classification (Q)
|
100% |
9193
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3538
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9628
156.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5292
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5259
6.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
22910
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
3069
243.5 IPS |
|
|
Object Detection (HP)
|
100% |
3134
248.6 IPS |
|
|
Object Detection (Q)
|
88% |
9777
783.7 IPS |
|
|
Face Detection (SP)
|
100% |
6351
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
6238
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
23408
278.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8069
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8204
63.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
23906
186.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15379
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15373
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
60039
77.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3547
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3529
130.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12820
474.8 IPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (Q)
|
92% |
5566
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5170
89.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7076
121.9 IPS |