Dell Inc. OptiPlex 3050
Geekbench AI Score
1317
Single Precision Score
642
Half Precision Score
1830
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 07:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3050 |
| Motherboard | Dell Inc. 0JP3NX |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1001
186.1 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
96% |
1521
284.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
1004
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2021
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1710
2.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
3942
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
58% |
1110
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
1435
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (Q)
|
96% |
2910
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2615
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
3653
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5142
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
4214
5.42 IPS |
|
|
Style Transfer (Q)
|
87% |
5683
7.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1250
46.3 IPS |
|
|
Text Classification (SP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
431
574.6 IPS |
|
|
Text Classification (Q)
|
97% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1109
21.4 IPS |
