Dell Inc. Dell Pro Rugged 12 Tablet RA02260
Geekbench AI Score
2353
Single Precision Score
17365
Half Precision Score
31938
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 12:59 PM |
| 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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
9064
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
15086
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12587
204.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20505
332.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2618
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
69963
81.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
147274
172.5 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
100% |
10146
804.8 IPS |
|
|
Object Detection (Q)
|
88% |
18525
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
4090
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
26332
312.9 IPS |
|
|
Face Detection (Q)
|
100% |
61825
734.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3138
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
56538
437.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
113491
883.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7951
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
147595
189.7 IPS |
|
|
Style Transfer (Q)
|
98% |
259821
335.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23646
873.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42141
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1330
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2596
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4455
76.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6561
113.0 IPS |
