Dell Inc. OptiPlex 3080
Geekbench AI Score
1544
Single Precision Score
1548
Half Precision Score
1031
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | jakesalleskovacs |
| Upload Date | November 17 2025 04:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-10600 |
| System Information | |
|---|---|
| Operating System | Zorin OS 18 |
| Model | Dell Inc. OptiPlex 3080 |
| Motherboard | Dell Inc. 0HMF7C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (Q)
|
99% |
637
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1716
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1715
2.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
1905
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.0 IPS |
|
|
Object Detection (Q)
|
85% |
754
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
1634
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1739
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1397
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2026
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2029
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3609
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1024
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1469
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
506
680.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (Q)
|
58% |
473
11.1 IPS |
