| User | MAT-INDUSTRIES |
| Upload Date | December 23 2025 12:10 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21Q8S01B00 |
| Motherboard | LENOVO 21Q8S01B00 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3955
735.5 IPS |
|
|
Image Classification (HP)
|
100% |
6869
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9519
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4356
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2754
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3515
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7664
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
34391
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74389
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
2889
229.2 IPS |
|
|
Object Detection (HP)
|
100% |
5947
471.7 IPS |
|
|
Object Detection (Q)
|
87% |
9688
777.5 IPS |
|
|
Face Detection (SP)
|
100% |
9497
112.8 IPS |
|
|
Face Detection (HP)
|
100% |
17218
204.6 IPS |
|
|
Face Detection (Q)
|
100% |
32818
390.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8411
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18846
145.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34223
266.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22761
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55200
71.0 IPS |
|
|
Style Transfer (Q)
|
98% |
99710
128.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4605
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13890
512.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23721
878.5 IPS |
|
|
Text Classification (SP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2000
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2040
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3255
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3860
66.5 IPS |