Dell Inc. OptiPlex 3020
Geekbench AI Score
1558
Single Precision Score
793
Half Precision Score
1775
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | March 14 2026 11:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3020 |
| Motherboard | Dell Inc. 0VHWTR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1172
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
96% |
1278
238.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1493
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2320
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
2730
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
58% |
940
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
2055
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
801
9.52 IPS |
|
|
Face Detection (Q)
|
96% |
2933
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3100
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1127
8.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
3103
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5725
7.36 IPS |
|
|
Style Transfer (HP)
|
100% |
4618
5.94 IPS |
|
|
Style Transfer (Q)
|
87% |
5430
7.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1392
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
1060
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
521
695.9 IPS |
|
|
Text Classification (Q)
|
97% |
756
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
68% |
1226
23.7 IPS |
