Dell Inc. OptiPlex 3080
Geekbench AI Score
1270
Single Precision Score
1270
Half Precision Score
773
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 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% |
921
171.3 IPS |
|
|
Image Classification (HP)
|
100% |
928
172.5 IPS |
|
|
Image Classification (Q)
|
99% |
501
93.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1413
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1396
1.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
1258
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
936
74.2 IPS |
|
|
Object Detection (Q)
|
85% |
550
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
1198
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1508
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1035
9.71 IPS |
|
|
Style Transfer (SP)
|
100% |
2033
2.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2038
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2626
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
719
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
1228
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
439
589.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (Q)
|
58% |
391
9.17 IPS |
