Dell Inc. OptiPlex 7040
Geekbench AI Score
1418
Single Precision Score
739
Half Precision Score
1530
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7040 |
| Motherboard | Dell Inc. 0Y7WYT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
913
169.7 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
96% |
1227
229.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
998
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2413
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
87% |
4036
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.3 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
86% |
919
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
1292
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
752
8.94 IPS |
|
|
Face Detection (Q)
|
96% |
1972
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2756
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1051
8.10 IPS |
|
|
Depth Estimation (Q)
|
77% |
2511
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5970
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
4564
5.87 IPS |
|
|
Style Transfer (Q)
|
87% |
7095
9.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1472
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
400
533.8 IPS |
|
|
Text Classification (Q)
|
97% |
303
405.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.64 IPS |
|
|
Machine Translation (Q)
|
60% |
988
22.0 IPS |
