Dell Inc. OptiPlex 3080
Geekbench AI Score
1262
Single Precision Score
1266
Half Precision Score
773
Quantized Score
Geekbench AI 1.4.0 Corporate for Linux AVX2
Result Information
| Upload Date | June 25 2025 12:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-10100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. OptiPlex 3080 |
| Motherboard | Dell Inc. 0M5WNK |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
920
171.0 IPS |
|
|
Image Classification (HP)
|
100% |
927
172.3 IPS |
|
|
Image Classification (Q)
|
99% |
503
93.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
553
8.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
1369
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
1256
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
937
74.3 IPS |
|
|
Object Detection (Q)
|
85% |
548
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
1199
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1509
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1509
11.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1035
9.71 IPS |
|
|
Style Transfer (SP)
|
100% |
2026
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2027
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
2624
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
718
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
437
587.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (Q)
|
58% |
391
9.18 IPS |
