Dell Inc. OptiPlex 3040
Geekbench AI Score
1362
Single Precision Score
777
Half Precision Score
1516
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 04:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. OptiPlex 3040 |
| Motherboard | Dell Inc. 05XGC8 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
817
152.0 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
96% |
1225
228.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
988
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2581
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2130
2.48 IPS |
|
|
Pose Estimation (Q)
|
87% |
4451
5.26 IPS |
|
|
Object Detection (SP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
86% |
890
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
96% |
1842
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2636
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1154
8.89 IPS |
|
|
Depth Estimation (Q)
|
77% |
2375
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5975
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
4922
6.33 IPS |
|
|
Style Transfer (Q)
|
87% |
6679
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1552
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
452
602.7 IPS |
|
|
Text Classification (Q)
|
97% |
321
430.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (Q)
|
60% |
921
20.5 IPS |
