Dell Inc. OptiPlex 5050
Geekbench AI Score
1572
Single Precision Score
798
Half Precision Score
1723
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | April 07 2025 12:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. OptiPlex 5050 |
| Motherboard | Dell Inc. 0WWJRX |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
961
178.8 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (Q)
|
96% |
1410
263.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
1146
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2681
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2162
2.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
4569
5.40 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
86% |
997
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1422
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
814
9.68 IPS |
|
|
Face Detection (Q)
|
96% |
2223
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2955
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1147
8.84 IPS |
|
|
Depth Estimation (Q)
|
77% |
2760
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6435
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
5021
6.45 IPS |
|
|
Style Transfer (Q)
|
87% |
7824
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1621
60.1 IPS |
|
|
Text Classification (SP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.3 IPS |
|
|
Text Classification (Q)
|
97% |
369
494.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
60% |
1094
24.4 IPS |
