Dell Inc. OptiPlex 3060
Geekbench AI Score
2045
Single Precision Score
865
Half Precision Score
2402
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | DanoLuvoe |
| Upload Date | February 07 2026 04:09 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% |
1676
311.7 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.5 IPS |
|
|
Image Classification (Q)
|
96% |
2225
415.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
1979
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3439
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2721
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
5798
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
58% |
1441
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.43 IPS |
|
|
Face Detection (Q)
|
96% |
3975
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4326
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1122
8.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
5338
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8047
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6198
7.97 IPS |
|
|
Style Transfer (Q)
|
87% |
9105
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2205
81.7 IPS |
|
|
Text Classification (SP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
526
702.6 IPS |
|
|
Text Classification (Q)
|
97% |
302
404.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1355
26.2 IPS |
