Dell Inc. OptiPlex 3050
Geekbench AI Score
247
Single Precision Score
185
Half Precision Score
415
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 21 2025 10:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G4560T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. OptiPlex 3050 |
| Motherboard | Dell Inc. 0JP3NX |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Pentium G4560T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.6 IPS |
|
|
Image Classification (Q)
|
96% |
258
48.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
253
4.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
610
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.04 IPS |
|
|
Object Detection (Q)
|
58% |
215
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.07 IPS |
|
|
Face Detection (Q)
|
96% |
632
7.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
385
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
685
5.46 IPS |
|
|
Style Transfer (SP)
|
100% |
740
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
746
0.96 IPS |
|
|
Style Transfer (Q)
|
87% |
1224
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
152
5.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
374
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.9 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.2 IPS |
|
|
Text Classification (Q)
|
97% |
188
251.2 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (Q)
|
68% |
483
9.33 IPS |
