stargazer Dell Inc. OptiPlex 7050
Geekbench AI Score
926
Single Precision Score
1070
Half Precision Score
757
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jamesbogert |
| Upload Date | December 09 2024 12:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7050 |
| Motherboard | Dell Inc. 0D24M8 |
| Power Plan | High performance |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
394
73.2 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
100% |
409
76.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
492
8.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
2230
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3554
4.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
2041
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
98% |
481
38.3 IPS |
|
|
Object Detection (Q)
|
86% |
418
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
726
8.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1656
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2095
16.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1485
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5662
7.28 IPS |
|
|
Style Transfer (HP)
|
100% |
8132
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
4961
6.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1135
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
898
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.7 IPS |
|
|
Text Classification (HP)
|
100% |
300
401.0 IPS |
|
|
Text Classification (Q)
|
97% |
287
384.8 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.74 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
70% |
262
4.92 IPS |
