| User | rbnmndz |
| Upload Date | September 28 2025 10:08 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP OmniBook X Flip Laptop 14-fk0xxx |
| Motherboard | HP 8DA7 |
| Power Plan | Equilibrat |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2892
537.9 IPS |
|
|
Image Classification (HP)
|
100% |
2884
536.3 IPS |
|
|
Image Classification (Q)
|
100% |
8733
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3408
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3355
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9005
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5509
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5541
6.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
21583
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.0 IPS |
|
|
Object Detection (Q)
|
88% |
8530
683.8 IPS |
|
|
Face Detection (SP)
|
100% |
6917
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
6993
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
19204
228.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6987
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7292
56.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
20558
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13171
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14127
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
55173
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3064
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10989
407.0 IPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
4948
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4281
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6298
108.5 IPS |