Dell Inc. OptiPlex 3060 **32GB** Ram, i7 CPU/iGPU Dell Inc. OptiPlex 3060
Geekbench AI Score
1050
Single Precision Score
1186
Half Precision Score
871
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 28 2024 05:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3060 |
| Motherboard | Dell Inc. 04Y8V0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.7 IPS |
|
|
Image Classification (Q)
|
100% |
449
83.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
574
9.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
2475
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3940
4.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
2302
2.70 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
98% |
529
42.1 IPS |
|
|
Object Detection (Q)
|
86% |
494
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
961
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1915
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2321
17.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1684
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6415
8.25 IPS |
|
|
Style Transfer (HP)
|
100% |
9469
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5704
7.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1020
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
517
690.4 IPS |
|
|
Text Classification (HP)
|
100% |
323
430.6 IPS |
|
|
Text Classification (Q)
|
97% |
313
419.6 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
70% |
291
5.46 IPS |
