Dell Inc. OptiPlex 5080
Geekbench AI Score
2843
Single Precision Score
2838
Half Precision Score
4165
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
1704
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.7 IPS |
|
|
Image Classification (Q)
|
100% |
2915
542.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3641
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3571
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3563
4.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
8299
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (Q)
|
87% |
2971
238.3 IPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
8309
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4453
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4424
34.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
8041
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12405
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12393
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23324
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2494
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4440
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (Q)
|
91% |
408
548.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2128
36.6 IPS |
