Dell Inc. OptiPlex 5080
Geekbench AI Score
1105
Single Precision Score
1109
Half Precision Score
815
Quantized Score
Geekbench AI 1.6.0 Corporate for Linux AVX2
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. OptiPlex 5080 |
| Motherboard | Dell Inc. 00VTMF |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
726
135.1 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
99% |
591
110.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
559
9.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
1592
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1600
1.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
1643
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (HP)
|
100% |
790
62.6 IPS |
|
|
Object Detection (Q)
|
85% |
618
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
1519
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1276
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1377
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1372
10.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1099
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1999
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1997
2.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3081
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
789
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
590
787.0 IPS |
|
|
Text Classification (HP)
|
100% |
594
792.2 IPS |
|
|
Text Classification (Q)
|
92% |
342
459.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
58% |
333
7.82 IPS |
