Dell Inc. OptiPlex 3060
Geekbench AI Score
948
Single Precision Score
1101
Half Precision Score
776
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | DanoLuvoe |
| Upload Date | February 07 2026 04:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
100% |
409
76.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
497
8.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
2266
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3600
4.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
2075
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
98% |
488
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
443
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
815
9.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1683
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2105
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1474
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5794
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
8664
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4992
6.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
893
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.6 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.4 IPS |
|
|
Text Classification (Q)
|
97% |
285
381.4 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
70% |
278
5.22 IPS |
