Dell Inc. OptiPlex 3050
Geekbench AI Score
1028
Single Precision Score
576
Half Precision Score
1243
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | janne77 |
| Upload Date | January 01 2025 07:03 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-6100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3050 |
| Motherboard | Dell Inc. 0W0CHX |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.4 IPS |
|
|
Image Classification (Q)
|
96% |
1034
193.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1464
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
2462
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
58% |
672
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
96% |
2194
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1861
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
807
6.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
2543
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3539
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
2717
3.49 IPS |
|
|
Style Transfer (Q)
|
87% |
4761
6.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1045
38.7 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.4 IPS |
|
|
Text Classification (HP)
|
100% |
396
528.5 IPS |
|
|
Text Classification (Q)
|
97% |
312
418.3 IPS |
|
|
Machine Translation (SP)
|
100% |
949
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
68% |
928
17.9 IPS |
