Dell Inc. Dell Pro Rugged 12 Tablet RA02260
Geekbench AI Score
3057
Single Precision Score
2073
Half Precision Score
7976
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 01:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Rugged 12 Tablet RA02260 |
| Motherboard | Dell Inc. 034P7J |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1907
354.7 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (Q)
|
100% |
5398
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5008
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3400
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1825
2.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
11269
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (Q)
|
88% |
5362
429.9 IPS |
|
|
Face Detection (SP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
4198
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
13329
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4335
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3093
23.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13454
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9126
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
5779
7.43 IPS |
|
|
Style Transfer (Q)
|
98% |
35293
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7418
274.7 IPS |
|
|
Text Classification (SP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4384
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2755
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3103
53.4 IPS |
