Dell Inc. OptiPlex 3060
Geekbench AI Score
1893
Single Precision Score
503
Half Precision Score
1895
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 11:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500 |
| 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 i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1168
217.3 IPS |
|
|
Image Classification (HP)
|
100% |
91
17.0 IPS |
|
|
Image Classification (Q)
|
97% |
1480
276.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
683
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3966
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3067
3.58 IPS |
|
|
Pose Estimation (Q)
|
87% |
6700
7.91 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (Q)
|
86% |
1183
95.1 IPS |
|
|
Face Detection (SP)
|
100% |
1418
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
180
2.14 IPS |
|
|
Face Detection (Q)
|
96% |
2420
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3928
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
587
4.52 IPS |
|
|
Depth Estimation (Q)
|
76% |
3742
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9198
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6545
8.41 IPS |
|
|
Style Transfer (Q)
|
87% |
10009
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2037
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.4 IPS |
|
|
Text Classification (Q)
|
97% |
353
472.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (Q)
|
60% |
1149
25.6 IPS |
