| Upload Date | October 23 2025 11:23 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14255 |
| Motherboard | Dell Inc. 0WX9GF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3123
580.9 IPS |
|
|
Image Classification (HP)
|
100% |
3104
577.3 IPS |
|
|
Image Classification (Q)
|
100% |
9395
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3760
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3209
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9281
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5269
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5652
6.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
19026
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2868
227.5 IPS |
|
|
Object Detection (HP)
|
100% |
2794
221.6 IPS |
|
|
Object Detection (Q)
|
88% |
7046
564.9 IPS |
|
|
Face Detection (SP)
|
100% |
6932
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
6813
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
20178
239.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7705
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5954
45.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
20426
159.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16186
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14617
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
61282
79.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3468
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10694
396.0 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4471
77.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5775
99.5 IPS |