Dell Inc. Vostro 14-3468
Geekbench AI Score
441
Single Precision Score
267
Half Precision Score
367
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 12:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 520 |
| 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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.4 IPS |
|
|
Image Classification (Q)
|
100% |
226
42.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (Q)
|
97% |
777
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.68 IPS |
|
|
Object Detection (Q)
|
86% |
204
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
481
5.71 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
97% |
441
5.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
793
6.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.71 IPS |
|
|
Depth Estimation (Q)
|
77% |
692
5.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1598
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1023
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1415
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
257
9.51 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.3 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.3 IPS |
|
|
Text Classification (Q)
|
97% |
142
189.6 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
96% |
225
3.89 IPS |
|
|
Machine Translation (Q)
|
70% |
171
3.20 IPS |
