Dell Inc. Vostro 14-3468
Geekbench AI Score
960
Single Precision Score
1439
Half Precision Score
1365
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 12:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 520 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 14-3468 |
| Motherboard | Dell Inc. 0F1C1N |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
608
113.0 IPS |
|
|
Image Classification (HP)
|
100% |
1015
188.7 IPS |
|
|
Image Classification (Q)
|
100% |
809
150.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1297
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1534
1.79 IPS |
|
|
Pose Estimation (HP)
|
99% |
1660
1.94 IPS |
|
|
Pose Estimation (Q)
|
97% |
2181
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (HP)
|
99% |
956
76.0 IPS |
|
|
Object Detection (Q)
|
88% |
819
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
2713
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1806
13.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2902
22.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
3004
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4369
5.62 IPS |
|
|
Style Transfer (HP)
|
100% |
5490
7.06 IPS |
|
|
Style Transfer (Q)
|
98% |
5032
6.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1343
49.7 IPS |
|
|
Text Classification (SP)
|
71% |
347
501.6 IPS |
|
|
Text Classification (HP)
|
71% |
403
583.3 IPS |
|
|
Text Classification (Q)
|
92% |
328
440.9 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
97% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
665
11.5 IPS |
