Dell Inc. OptiPlex 7020
Geekbench AI Score
1469
Single Precision Score
754
Half Precision Score
1567
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hArDsTyLe2259 |
| Upload Date | December 09 2025 04:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Dell Inc. OptiPlex 7020 |
| Motherboard | Dell Inc. 02YYK5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1171
217.8 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
96% |
1300
242.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
1205
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
2772
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
1088
86.3 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.3 IPS |
|
|
Object Detection (Q)
|
58% |
878
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
96% |
2761
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2753
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1052
8.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
2981
23.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5387
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4240
5.45 IPS |
|
|
Style Transfer (Q)
|
87% |
5349
6.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1418
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
486
649.1 IPS |
|
|
Text Classification (Q)
|
97% |
327
437.9 IPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (Q)
|
68% |
1149
22.2 IPS |
