| Upload Date | October 23 2025 10:44 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 16 PC16250 |
| Motherboard | Dell Inc. 1VJH5M |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
6274
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
9333
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2632
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3594
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2932
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31470
36.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
67877
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
5017
398.0 IPS |
|
|
Object Detection (Q)
|
87% |
8967
719.7 IPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
12401
147.3 IPS |
|
|
Face Detection (Q)
|
100% |
22690
269.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3513
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12996
100.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
25274
196.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8013
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38675
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
73339
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12359
456.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20793
770.1 IPS |
|
|
Text Classification (SP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
1914
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3816
65.7 IPS |