| Upload Date | November 28 2025 08:12 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT LTSC (64-bit) |
| Model | LENOVO 21R9A000CD |
| Motherboard | LENOVO 21R9A000CD |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
6346
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9432
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2634
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3188
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3680
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
31707
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
69220
81.1 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
5256
416.9 IPS |
|
|
Object Detection (Q)
|
88% |
9247
741.3 IPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
16378
194.6 IPS |
|
|
Face Detection (Q)
|
100% |
31167
370.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4238
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17177
132.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33370
259.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9942
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54391
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96793
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14873
549.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28656
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
1580
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1854
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1888
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4241
73.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4279
73.7 IPS |