Dell Inc. OptiPlex 3020
Geekbench AI Score
890
Single Precision Score
516
Half Precision Score
900
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | February 07 2026 10:55 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-4160 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. OptiPlex 3020 |
| Motherboard | Dell Inc. 0WMJ54 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4160 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
615
114.4 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
96% |
703
131.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
600
9.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
1267
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
1350
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
58% |
456
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (Q)
|
96% |
1627
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
755
5.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
1583
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2937
3.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2332
3.00 IPS |
|
|
Style Transfer (Q)
|
87% |
3016
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
773
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.5 IPS |
|
|
Text Classification (HP)
|
100% |
364
485.7 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.1 IPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.64 IPS |
|
|
Machine Translation (Q)
|
68% |
773
14.9 IPS |
