| User | cwebb15 |
| Upload Date | April 06 2026 12:00 AM |
| Views | 9 |
| 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 13 Plus PB13250 |
| Motherboard | Dell Inc. 0W8RP8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
6363
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9345
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3139
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3722
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
30738
35.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
67754
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1632
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
5237
415.4 IPS |
|
|
Object Detection (Q)
|
88% |
9074
727.5 IPS |
|
|
Face Detection (SP)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
13988
166.2 IPS |
|
|
Face Detection (Q)
|
100% |
28138
334.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4245
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12595
97.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
25367
197.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10651
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39511
50.8 IPS |
|
|
Style Transfer (Q)
|
98% |
73806
95.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14801
546.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28618
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1865
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2644
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3980
68.6 IPS |