Dell Inc. OptiPlex 5080
Geekbench AI Score
1079
Single Precision Score
1249
Half Precision Score
876
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 5080 |
| Motherboard | Dell Inc. 00VTMF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
100% |
453
84.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
569
9.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
2511
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4001
4.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
2307
2.70 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.6 IPS |
|
|
Object Detection (HP)
|
98% |
544
43.3 IPS |
|
|
Object Detection (Q)
|
86% |
493
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
940
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1901
14.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2341
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1652
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6440
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
9603
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5640
7.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1021
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
571
761.6 IPS |
|
|
Text Classification (HP)
|
100% |
355
473.4 IPS |
|
|
Text Classification (Q)
|
97% |
332
445.1 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.31 IPS |
|
|
Machine Translation (Q)
|
70% |
308
5.77 IPS |
