Dell Inc. Dell Pro Rugged 12 Tablet RA02260
Geekbench AI Score
2623
Single Precision Score
26740
Half Precision Score
43940
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 11:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1543
287.0 IPS |
|
|
Image Classification (HP)
|
100% |
16065
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
22473
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14262
231.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24631
399.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2750
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
85063
99.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
192843
225.9 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (HP)
|
100% |
16790
1.33 KIPS |
|
|
Object Detection (Q)
|
88% |
26377
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
41357
491.4 IPS |
|
|
Face Detection (Q)
|
100% |
86448
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4012
30.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
78508
607.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
151012
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
8743
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201407
258.9 IPS |
|
|
Style Transfer (Q)
|
98% |
361220
465.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34080
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62438
2.31 KIPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
3770
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7386
127.2 IPS |
|
|
Machine Translation (Q)
|
100% |
8586
147.9 IPS |
