Dell Inc. Vostro 3888
Geekbench AI Score
928
Single Precision Score
1056
Half Precision Score
728
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 01:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Vostro 3888 |
| Motherboard | Dell Inc. 0VD92X |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.7 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
100% |
390
72.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
465
7.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2220
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3554
4.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
2001
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.8 IPS |
|
|
Object Detection (HP)
|
98% |
469
37.3 IPS |
|
|
Object Detection (Q)
|
86% |
407
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
762
9.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2033
15.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1385
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5651
7.26 IPS |
|
|
Style Transfer (HP)
|
100% |
8449
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4740
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
827
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.7 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.0 IPS |
|
|
Text Classification (Q)
|
97% |
259
347.3 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
70% |
266
5.00 IPS |
