Dell Inc. OptiPlex 3060
Geekbench AI Score
2072
Single Precision Score
878
Half Precision Score
2414
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | DanoLuvoe |
| Upload Date | February 07 2026 04:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3060 |
| Motherboard | Dell Inc. 03KWTV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
1921
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3531
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2815
3.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
5986
7.08 IPS |
|
|
Object Detection (SP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
58% |
1447
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (Q)
|
96% |
3942
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4313
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
5286
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8260
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6340
8.15 IPS |
|
|
Style Transfer (Q)
|
87% |
9226
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1277
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2251
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
524
698.8 IPS |
|
|
Text Classification (Q)
|
97% |
302
405.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
68% |
1399
27.0 IPS |
