Dell Inc. OptiPlex 7080
Geekbench AI Score
977
Single Precision Score
1138
Half Precision Score
791
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 02:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Entreprise (64-bit) |
| Model | Dell Inc. OptiPlex 7080 |
| Motherboard | Dell Inc. 0HV8FN |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
100% |
416
77.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
511
8.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3804
4.44 IPS |
|
|
Pose Estimation (Q)
|
97% |
2145
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
98% |
510
40.6 IPS |
|
|
Object Detection (Q)
|
86% |
461
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1123
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
773
9.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
1796
13.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2220
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1555
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6122
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
9127
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
5177
6.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
481
641.7 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.5 IPS |
|
|
Text Classification (Q)
|
97% |
282
377.5 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (Q)
|
70% |
279
5.24 IPS |
