Dell Inc. Latitude 7212 Rugged Extreme Tablet
Geekbench AI Score
1375
Single Precision Score
2038
Half Precision Score
1935
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sw0000 |
| Upload Date | February 09 2025 07:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7212 Rugged Extreme Tablet |
| Motherboard | Dell Inc. 0V5HXP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8350U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
939
174.6 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (Q)
|
100% |
1261
234.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1772
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2157
2.52 IPS |
|
|
Pose Estimation (HP)
|
99% |
2115
2.47 IPS |
|
|
Pose Estimation (Q)
|
97% |
3087
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (HP)
|
99% |
1431
113.8 IPS |
|
|
Object Detection (Q)
|
88% |
1318
105.7 IPS |
|
|
Face Detection (SP)
|
100% |
2418
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4102
48.7 IPS |
|
|
Face Detection (Q)
|
97% |
3362
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2580
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4638
35.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4216
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6180
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
8892
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7891
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1863
69.0 IPS |
|
|
Text Classification (SP)
|
71% |
496
717.5 IPS |
|
|
Text Classification (HP)
|
71% |
575
831.5 IPS |
|
|
Text Classification (Q)
|
92% |
479
644.0 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
97% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
814
14.1 IPS |
