| User | bidon |
| Upload Date | February 03 2026 11:47 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Dell Inc. Dell 14 Plus DB14250 |
| Motherboard | Dell Inc. 0K389Y |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (HP)
|
100% |
12812
2.38 KIPS |
|
|
Image Classification (Q)
|
100% |
17580
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17630
285.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29115
472.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1213
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
109291
127.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
224788
263.3 IPS |
|
|
Object Detection (SP)
|
100% |
873
69.2 IPS |
|
|
Object Detection (HP)
|
100% |
16739
1.33 KIPS |
|
|
Object Detection (Q)
|
88% |
17057
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2571
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
35002
415.9 IPS |
|
|
Face Detection (Q)
|
100% |
50654
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2079
16.0 IPS |
|
|
Depth Estimation (HP)
|
92% |
73664
571.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
125054
973.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1819
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
174470
224.3 IPS |
|
|
Style Transfer (Q)
|
98% |
321337
414.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35801
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57999
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
329
438.8 IPS |
|
|
Text Classification (HP)
|
100% |
895
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6723
115.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6457
111.2 IPS |