| User | ghazinakhli |
| Upload Date | February 12 2026 01:41 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MDS42G03 |
| Motherboard | LENOVO 21MDS42G03 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8840U w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.1 IPS |
|
|
Image Classification (Q)
|
99% |
7203
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7686
125.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3655
4.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
17828
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1911
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
6009
482.9 IPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
8269
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5770
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2006
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6490
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9905
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9267
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16841
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5886
218.0 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1672
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2590
52.0 IPS |