Dell Inc. OptiPlex 3060
Geekbench AI Score
2626
Single Precision Score
2616
Half Precision Score
3744
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | DanoLuvoe |
| Upload Date | February 07 2026 04:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8500T CPU @ 2.10GHz |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (Q)
|
100% |
2442
454.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2965
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3098
3.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
6423
7.53 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
1642
130.3 IPS |
|
|
Object Detection (Q)
|
87% |
2543
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
6876
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4137
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4141
31.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
7006
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9749
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9770
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18696
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3862
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (Q)
|
91% |
582
782.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2262
39.0 IPS |
