Dell Inc. OptiPlex 3060 **32GB** Ram, i7 CPU/iGPU Dell Inc. OptiPlex 3060
Geekbench AI Score
2639
Single Precision Score
1114
Half Precision Score
3368
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 28 2024 05:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| 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% |
2201
409.4 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
96% |
3030
565.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1947
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4635
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3523
4.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
7949
9.40 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
58% |
2080
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
5299
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5690
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1478
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6575
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9807
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8066
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11804
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2210
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
654
872.4 IPS |
|
|
Text Classification (Q)
|
97% |
1127
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (Q)
|
68% |
1881
36.3 IPS |
