| User | Fax1015 |
| Upload Date | December 30 2025 04:12 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82Y9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| 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 | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2624
488.0 IPS |
|
|
Image Classification (HP)
|
100% |
2986
555.3 IPS |
|
|
Image Classification (Q)
|
100% |
9350
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9236
149.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7140
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7021
8.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
28602
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
2567
203.7 IPS |
|
|
Object Detection (Q)
|
88% |
8056
645.8 IPS |
|
|
Face Detection (SP)
|
100% |
5740
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
19378
230.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8084
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7452
57.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22710
176.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18419
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18615
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75103
96.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13950
516.6 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3332
4.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4920
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4768
82.1 IPS |