Dell Inc. OptiPlex Micro 7010
Geekbench AI Score
1655
Single Precision Score
1690
Half Precision Score
1102
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pestana58 |
| Upload Date | January 04 2025 06:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Dell Inc. OptiPlex Micro 7010 |
| Motherboard | Dell Inc. 0KYWH7 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500T |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.5 IPS |
|
|
Image Classification (Q)
|
100% |
583
108.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
729
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5068
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5720
6.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
3483
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (HP)
|
98% |
682
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
665
53.4 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1148
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3031
23.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3303
25.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2246
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10574
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14123
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7864
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2493
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
911
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.2 IPS |
|
|
Text Classification (Q)
|
97% |
383
512.9 IPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
70% |
382
7.17 IPS |
