| Upload Date | November 12 2025 08:41 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QL0020US |
| Motherboard | LENOVO 21QL0020US |
| 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% |
2998
557.5 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.4 IPS |
|
|
Image Classification (Q)
|
99% |
7896
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9255
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5675
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4741
5.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
21767
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2951
234.0 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
7757
623.4 IPS |
|
|
Face Detection (SP)
|
100% |
6332
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
10392
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7545
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3010
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16893
134.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13716
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11889
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30028
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2564
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2407
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4797
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1939
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2707
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3683
74.0 IPS |