Dell Inc. OptiPlex 3090
Geekbench AI Score
992
Single Precision Score
1142
Half Precision Score
812
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pestana58 |
| Upload Date | January 04 2025 05:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel Insider Preview (64-bit) |
| Model | Dell Inc. OptiPlex 3090 |
| Motherboard | Dell Inc. 02KGF7 |
| Power Plan | Performances leves |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
100% |
427
79.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
523
8.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
2356
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3765
4.39 IPS |
|
|
Pose Estimation (Q)
|
97% |
2159
2.53 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
98% |
512
40.7 IPS |
|
|
Object Detection (Q)
|
86% |
465
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
865
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1774
13.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2207
17.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1546
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6054
7.78 IPS |
|
|
Style Transfer (HP)
|
100% |
8883
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
5251
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
945
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.6 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.6 IPS |
|
|
Text Classification (Q)
|
97% |
299
400.7 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
70% |
281
5.28 IPS |
