Dell Inc. OptiPlex 5480 AIO
Geekbench AI Score
897
Single Precision Score
1037
Half Precision Score
760
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 05 2024 10:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
392
72.9 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.1 IPS |
|
|
Image Classification (Q)
|
100% |
425
79.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
513
8.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (Q)
|
97% |
2135
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (HP)
|
98% |
499
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
467
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (HP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
788
9.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
1813
14.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2195
17.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1568
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6081
7.82 IPS |
|
|
Style Transfer (HP)
|
100% |
8987
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
5133
6.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
768
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
376
502.4 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (Q)
|
97% |
228
305.2 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
70% |
269
5.05 IPS |
