| User | nithinmohantk |
| Upload Date | February 13 2026 04:09 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 05PR76 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4065
755.9 IPS |
|
|
Image Classification (HP)
|
100% |
7276
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10126
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5053
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7362
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
33859
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74102
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
3385
268.5 IPS |
|
|
Object Detection (HP)
|
100% |
6129
486.2 IPS |
|
|
Object Detection (Q)
|
88% |
10295
825.4 IPS |
|
|
Face Detection (SP)
|
100% |
11517
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
18382
218.4 IPS |
|
|
Face Detection (Q)
|
100% |
33647
399.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9592
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18415
141.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34152
265.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21884
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53728
69.1 IPS |
|
|
Style Transfer (Q)
|
98% |
96283
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2610
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16075
593.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31103
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2142
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4705
81.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4745
81.7 IPS |