Dell Inc. OptiPlex 3050
Geekbench AI Score
893
Single Precision Score
496
Half Precision Score
1059
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | janne77 |
| Upload Date | September 17 2025 02:10 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-6100T |
| 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 i3-6100T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
625
116.3 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
96% |
862
161.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
537
8.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1003
1.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
1992
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.4 IPS |
|
|
Object Detection (Q)
|
58% |
586
64.0 IPS |
|
|
Face Detection (SP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
538
6.40 IPS |
|
|
Face Detection (Q)
|
96% |
1874
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1477
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
672
5.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
2109
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2836
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2227
2.86 IPS |
|
|
Style Transfer (Q)
|
87% |
4044
5.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
890
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
619
826.2 IPS |
|
|
Text Classification (HP)
|
100% |
356
475.4 IPS |
|
|
Text Classification (Q)
|
97% |
281
375.9 IPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
68% |
824
15.9 IPS |
