Dell Inc. OptiPlex 3060
Geekbench AI Score
1963
Single Precision Score
911
Half Precision Score
3086
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 04:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3060 |
| Motherboard | Dell Inc. 0T0MHW |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1746
324.8 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
96% |
2667
498.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
3306
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2774
3.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
5948
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (Q)
|
58% |
1840
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (Q)
|
96% |
4188
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3667
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1053
8.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
5744
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8396
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7007
9.01 IPS |
|
|
Style Transfer (Q)
|
87% |
8099
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2711
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
652
869.9 IPS |
|
|
Text Classification (Q)
|
97% |
1022
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (Q)
|
68% |
1504
29.1 IPS |
