Dell Inc. Dell Pro Rugged 12 Tablet RA02260
Geekbench AI Score
2757
Single Precision Score
1862
Half Precision Score
7106
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 11:39 AM |
| 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% |
1602
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
986
183.4 IPS |
|
|
Image Classification (Q)
|
100% |
4599
855.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4477
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2947
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1947
2.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
11155
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
1151
91.3 IPS |
|
|
Object Detection (Q)
|
88% |
4605
369.1 IPS |
|
|
Face Detection (SP)
|
100% |
4653
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (Q)
|
100% |
11292
134.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4072
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2836
21.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12390
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8766
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5715
7.35 IPS |
|
|
Style Transfer (Q)
|
98% |
31406
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6585
243.9 IPS |
|
|
Text Classification (SP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (Q)
|
92% |
3803
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2835
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2822
48.6 IPS |
