Dell Inc. Latitude 7212 Rugged Extreme Tablet
Geekbench AI Score
1661
Single Precision Score
1650
Half Precision Score
2571
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sw0000 |
| Upload Date | February 09 2025 06:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8350U CPU @ 1.70GHz |
| 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% |
1012
188.1 IPS |
|
|
Image Classification (HP)
|
100% |
1013
188.4 IPS |
|
|
Image Classification (Q)
|
100% |
1601
297.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1751
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1951
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
3755
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
955
75.7 IPS |
|
|
Object Detection (HP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (Q)
|
87% |
1657
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2257
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
4300
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2592
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2570
19.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
4301
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5743
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5677
7.30 IPS |
|
|
Style Transfer (Q)
|
98% |
11043
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1158
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1158
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2228
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1252
1.67 KIPS |
|
|
Text Classification (Q)
|
91% |
932
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1652
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1709
29.4 IPS |
