Dell Inc. OptiPlex 7050
Geekbench AI Score
943
Single Precision Score
528
Half Precision Score
1220
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Roman3349 |
| Upload Date | March 29 2026 01:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-7100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7050 |
| Motherboard | Dell Inc. 055H3G |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-7100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
96% |
1017
190.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1379
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
2360
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
58% |
683
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (Q)
|
96% |
2173
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1697
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
750
5.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
2261
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3176
4.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2495
3.21 IPS |
|
|
Style Transfer (Q)
|
87% |
3851
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1091
40.4 IPS |
|
|
Text Classification (SP)
|
100% |
636
848.7 IPS |
|
|
Text Classification (HP)
|
100% |
392
522.7 IPS |
|
|
Text Classification (Q)
|
97% |
304
407.9 IPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
68% |
902
17.4 IPS |
