| Upload Date | October 23 2025 11:06 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS with Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 83AM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS with Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.4 IPS |
|
|
Image Classification (Q)
|
100% |
8412
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9483
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5187
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3714
4.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
15190
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (Q)
|
88% |
4244
340.2 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
11239
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4202
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4217
32.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
11245
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9442
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9363
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36358
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7074
262.0 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
2994
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2424
41.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3085
53.1 IPS |