Dell Inc. OptiPlex 3060 32GB, i7, GeForce GT 1030-4Gb Dell Inc. OptiPlex 3060
Geekbench AI Score
2747
Single Precision Score
1149
Half Precision Score
3443
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 28 2024 09:37 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% |
2247
418.0 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.7 IPS |
|
|
Image Classification (Q)
|
96% |
3079
574.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
1945
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4807
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3647
4.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
8117
9.60 IPS |
|
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (Q)
|
58% |
2127
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
5360
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5858
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7149
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11069
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8549
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12149
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2253
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
658
878.7 IPS |
|
|
Text Classification (Q)
|
97% |
1128
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1919
37.1 IPS |
