| User | TechnoCat |
| Upload Date | September 22 2025 07:31 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21Q1ZCSRUS |
| Motherboard | LENOVO 21Q1ZCSRUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (HP)
|
100% |
4244
789.2 IPS |
|
|
Image Classification (Q)
|
100% |
8768
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2613
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3511
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
32702
38.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
69128
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (HP)
|
100% |
5239
415.6 IPS |
|
|
Object Detection (Q)
|
87% |
8842
709.6 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16341
194.2 IPS |
|
|
Face Detection (Q)
|
100% |
28222
335.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3395
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18834
145.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
32227
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10669
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
52672
67.7 IPS |
|
|
Style Transfer (Q)
|
98% |
93808
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11892
439.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19011
704.0 IPS |
|
|
Text Classification (SP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1732
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3443
59.3 IPS |