Dell Inc. Dell Pro Rugged 12 Tablet RA02260
Geekbench AI Score
2363
Single Precision Score
1689
Half Precision Score
6230
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 236V |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.4 IPS |
|
|
Image Classification (Q)
|
100% |
4107
763.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3720
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1742
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
10242
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (Q)
|
88% |
4025
322.7 IPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
10095
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3496
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2555
19.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10369
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7630
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
5066
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
27997
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5547
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1095
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
3498
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2559
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2461
42.4 IPS |
