Dell Inc. OptiPlex 5080
Geekbench AI Score
2847
Single Precision Score
2837
Half Precision Score
4379
Quantized Score
Geekbench AI 1.0.0 Corporate for Linux AVX2
Result Information
| Upload Date | August 15 2024 03:48 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 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% |
1638
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
1619
301.2 IPS |
|
|
Image Classification (Q)
|
100% |
2969
552.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4227
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4238
4.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
8336
9.78 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (Q)
|
87% |
2902
232.7 IPS |
|
|
Face Detection (SP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (Q)
|
97% |
8297
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4858
37.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
4876
37.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
8520
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12354
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12375
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23275
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2453
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2474
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4470
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (Q)
|
91% |
804
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (Q)
|
90% |
2009
34.9 IPS |
