stargazer Dell Inc. OptiPlex 7050
Geekbench AI Score
1471
Single Precision Score
702
Half Precision Score
1717
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jamesbogert |
| Upload Date | December 09 2024 12:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500T |
| 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% |
1114
207.1 IPS |
|
|
Image Classification (HP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (Q)
|
96% |
1595
297.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
911
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
4080
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
1047
83.1 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
58% |
1059
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
1803
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
676
8.04 IPS |
|
|
Face Detection (Q)
|
96% |
3029
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2877
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
3839
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5626
7.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4353
5.60 IPS |
|
|
Style Transfer (Q)
|
87% |
6938
9.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1356
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
451
602.3 IPS |
|
|
Text Classification (Q)
|
97% |
306
410.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
68% |
1061
20.5 IPS |
