Dell Inc. OptiPlex 7050
Geekbench AI Score
888
Single Precision Score
917
Half Precision Score
695
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | DoctorZeeshan |
| Upload Date | November 20 2024 12:22 PM |
| Views | 2 |
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. 0XHGV1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
71.1 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
99% |
335
62.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
2256
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3474
4.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
2077
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
98% |
333
26.5 IPS |
|
|
Object Detection (Q)
|
89% |
373
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
840
9.98 IPS |
|
|
Face Detection (HP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
662
7.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
1704
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
1936
15.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
1405
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5909
7.60 IPS |
|
|
Style Transfer (HP)
|
100% |
8622
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
5139
6.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
908
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.2 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.9 IPS |
|
|
Text Classification (Q)
|
97% |
244
327.0 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (Q)
|
60% |
193
4.32 IPS |
