Dell Inc. OptiPlex 5480 AIO
Geekbench AI Score
2646
Single Precision Score
2633
Half Precision Score
4272
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 05 2024 10:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10500T CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 5480 AIO |
| Motherboard | Dell Inc. 05T2V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
1799
334.5 IPS |
|
|
Image Classification (Q)
|
100% |
2801
520.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3790
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3747
4.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
7576
8.89 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
100% |
1628
129.2 IPS |
|
|
Object Detection (Q)
|
87% |
2856
229.1 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2118
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
7110
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4741
36.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
7845
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10646
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10611
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21224
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2119
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4457
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (Q)
|
91% |
956
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2471
42.6 IPS |
