| Upload Date | November 15 2025 04:59 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1187
220.8 IPS |
|
|
Image Classification (HP)
|
100% |
5714
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
8460
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2915
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1457
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
25694
30.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
59336
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
994
78.8 IPS |
|
|
Object Detection (HP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (Q)
|
88% |
8434
676.1 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
14573
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
27515
326.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2764
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16222
125.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
29620
230.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6850
8.81 IPS |
|
|
Style Transfer (HP)
|
100% |
44986
57.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83540
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14421
532.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26046
964.6 IPS |
|
|
Text Classification (SP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1965
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4056
69.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4104
70.7 IPS |