Dell Inc. OptiPlex 3020
Geekbench AI Score
1127
Single Precision Score
1128
Half Precision Score
1224
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | February 07 2026 11:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-4160 CPU @ 3.60GHz |
| 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% |
648
120.6 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.4 IPS |
|
|
Image Classification (Q)
|
100% |
756
140.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
851
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1294
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1292
1.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
1605
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (Q)
|
87% |
787
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
2128
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1673
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1680
12.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
1991
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4024
5.17 IPS |
|
|
Style Transfer (HP)
|
100% |
4085
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
4618
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
833
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
833
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
965
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
91% |
400
538.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1237
21.3 IPS |
