Dell Inc. Vostro 3902
Geekbench AI Score
336
Single Precision Score
247
Half Precision Score
519
Quantized Score
Geekbench AI 1.4.0 Corporate for Windows x86 (64-bit)
Result Information
| Upload Date | November 13 2025 11:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G3260 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 3902 |
| Motherboard | Dell Inc. 0T1D10 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Pentium G3260 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
96% |
336
62.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
411
6.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
627
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (Q)
|
58% |
251
27.4 IPS |
|
|
Face Detection (SP)
|
100% |
596
7.09 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
96% |
788
9.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
357
2.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
744
5.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
946
1.22 IPS |
|
|
Style Transfer (Q)
|
87% |
1417
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
197
7.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.4 IPS |
|
|
Text Classification (HP)
|
100% |
188
250.7 IPS |
|
|
Text Classification (Q)
|
97% |
376
503.4 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (Q)
|
68% |
541
10.5 IPS |
