Dell Inc. Dell Pro Rugged 12 Tablet RA02260
Geekbench AI Score
11528
Single Precision Score
30736
Half Precision Score
35875
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | April 01 2026 01:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
7444
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
15056
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
18965
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9662
156.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
27111
439.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31263
506.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23946
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
137540
160.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
263287
308.2 IPS |
|
|
Object Detection (SP)
|
100% |
6816
540.7 IPS |
|
|
Object Detection (HP)
|
100% |
17424
1.38 KIPS |
|
|
Object Detection (Q)
|
88% |
21589
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
14469
171.9 IPS |
|
|
Face Detection (HP)
|
100% |
35373
420.3 IPS |
|
|
Face Detection (Q)
|
100% |
50702
602.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24728
190.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
61447
473.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
71910
559.2 IPS |
|
|
Style Transfer (SP)
|
100% |
61490
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205957
264.8 IPS |
|
|
Style Transfer (Q)
|
98% |
303700
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10096
372.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35281
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42073
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4458
5.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
92% |
2977
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7698
133.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7557
130.2 IPS |
