| Upload Date | December 09 2025 12:56 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Rugged 12 Tablet RA02260 |
| Motherboard | Dell Inc. 07WPVN |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4871
905.9 IPS |
|
|
Image Classification (HP)
|
100% |
10120
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
10025
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6671
108.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18239
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19691
319.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15142
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
80057
93.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
156800
183.6 IPS |
|
|
Object Detection (SP)
|
100% |
4508
357.5 IPS |
|
|
Object Detection (HP)
|
100% |
10795
856.3 IPS |
|
|
Object Detection (Q)
|
88% |
9248
741.1 IPS |
|
|
Face Detection (SP)
|
100% |
9682
115.0 IPS |
|
|
Face Detection (HP)
|
100% |
21085
250.5 IPS |
|
|
Face Detection (Q)
|
100% |
24396
289.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13852
106.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36090
278.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
40529
315.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32283
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
97015
124.7 IPS |
|
|
Style Transfer (Q)
|
98% |
102734
132.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21024
776.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19859
735.4 IPS |
|
|
Text Classification (SP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1938
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1236
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3709
63.9 IPS |