Dell Inc. OptiPlex 5050
Geekbench AI Score
807
Single Precision Score
451
Half Precision Score
1027
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Hakim_Yusa |
| Upload Date | December 19 2025 03:35 AM |
| 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 5050 |
| Motherboard | Dell Inc. 0782GW |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (HP)
|
100% |
183
33.9 IPS |
|
|
Image Classification (Q)
|
96% |
765
142.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
687
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
1926
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
58% |
517
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
96% |
1756
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1395
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
617
4.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
1940
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2746
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
2126
2.73 IPS |
|
|
Style Transfer (Q)
|
87% |
3458
4.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1000
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
620
827.7 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.2 IPS |
|
|
Text Classification (Q)
|
97% |
269
360.2 IPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (Q)
|
68% |
789
15.2 IPS |
