| User | Corbit1985 |
| Upload Date | November 27 2025 02:24 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| 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% |
3482
647.6 IPS |
|
|
Image Classification (HP)
|
100% |
3506
651.9 IPS |
|
|
Image Classification (Q)
|
100% |
10225
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3947
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3754
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10629
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6370
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
6358
7.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
26747
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3011
238.8 IPS |
|
|
Object Detection (HP)
|
100% |
3023
239.8 IPS |
|
|
Object Detection (Q)
|
88% |
10223
819.5 IPS |
|
|
Face Detection (SP)
|
100% |
6125
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
23890
283.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6700
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7892
60.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
24660
191.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16483
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18883
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
71480
92.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3956
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4115
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14228
526.9 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (Q)
|
92% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4868
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4941
85.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6617
114.0 IPS |