Dell Inc. OptiPlex 3060 16GB Ram, i7 CPU/iGPU Dell Inc. OptiPlex 3060
Geekbench AI Score
2249
Single Precision Score
1006
Half Precision Score
3106
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 27 2024 06:37 PM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1782
331.5 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
96% |
2853
532.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1749
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2878
3.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
7141
8.44 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
58% |
1979
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
4893
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4652
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6248
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8792
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6853
8.81 IPS |
|
|
Style Transfer (Q)
|
87% |
10229
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2115
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
605
807.4 IPS |
|
|
Text Classification (Q)
|
97% |
1024
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.48 IPS |
|
|
Machine Translation (Q)
|
68% |
1754
33.9 IPS |
