Dell Inc. OptiPlex 5080
Geekbench AI Score
2840
Single Precision Score
2840
Half Precision Score
4172
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 06:12 PM |
| Views | 6 |
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% |
1686
313.6 IPS |
|
|
Image Classification (Q)
|
100% |
2909
541.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3573
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3569
4.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
8294
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
1724
136.8 IPS |
|
|
Object Detection (Q)
|
87% |
2964
237.7 IPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
8319
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4431
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4402
33.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
8062
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12379
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12373
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23361
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2504
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2517
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4435
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1419
1.89 KIPS |
|
|
Text Classification (Q)
|
91% |
422
567.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2107
36.3 IPS |
