| User | cwebb15 |
| Upload Date | April 05 2026 11:58 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3269
608.0 IPS |
|
|
Image Classification (HP)
|
100% |
5511
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7351
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6127
99.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9494
153.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11381
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11052
12.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
38340
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
2856
226.5 IPS |
|
|
Object Detection (HP)
|
100% |
5149
408.4 IPS |
|
|
Object Detection (Q)
|
88% |
8751
701.3 IPS |
|
|
Face Detection (SP)
|
100% |
4664
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
9465
112.5 IPS |
|
|
Face Detection (Q)
|
100% |
18716
222.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9478
73.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
18894
146.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
22231
172.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28532
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37871
48.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81355
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8399
310.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14806
548.3 IPS |
|
|
Text Classification (SP)
|
71% |
1492
2.16 KIPS |
|
|
Text Classification (HP)
|
71% |
2666
3.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2529
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3064
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3056
52.8 IPS |