Dell Inc. OptiPlex 3060
Geekbench AI Score
1628
Single Precision Score
2359
Half Precision Score
2231
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | DanoLuvoe |
| Upload Date | February 07 2026 05:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1006
187.0 IPS |
|
|
Image Classification (HP)
|
100% |
1546
287.5 IPS |
|
|
Image Classification (Q)
|
100% |
1407
261.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1995
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
2357
2.76 IPS |
|
|
Pose Estimation (Q)
|
97% |
3517
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (HP)
|
99% |
1580
125.7 IPS |
|
|
Object Detection (Q)
|
88% |
1475
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
2810
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (Q)
|
97% |
4283
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2958
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5054
39.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
4603
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7251
9.32 IPS |
|
|
Style Transfer (HP)
|
100% |
9156
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8319
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2060
76.3 IPS |
|
|
Text Classification (SP)
|
71% |
616
890.7 IPS |
|
|
Text Classification (HP)
|
71% |
789
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
530
712.3 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1175
20.3 IPS |
