| Upload Date | November 11 2025 05:57 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83HX |
| 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 | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3165
588.5 IPS |
|
|
Image Classification (HP)
|
100% |
3123
580.8 IPS |
|
|
Image Classification (Q)
|
100% |
8905
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3230
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9058
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5697
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5674
6.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
23310
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2923
231.8 IPS |
|
|
Object Detection (HP)
|
100% |
2963
235.0 IPS |
|
|
Object Detection (Q)
|
88% |
8776
703.5 IPS |
|
|
Face Detection (SP)
|
100% |
6197
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
6122
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
20692
245.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7265
56.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
21080
164.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15120
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15372
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
63509
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3362
124.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12584
466.0 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
5284
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4826
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4970
85.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6718
115.7 IPS |