Dell Inc. OptiPlex 7040
Geekbench AI Score
1449
Single Precision Score
740
Half Precision Score
2194
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kamisama |
| Upload Date | March 07 2026 03:37 AM |
| Views | 5 |
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 | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1088
202.4 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
96% |
1654
308.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
2100
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2126
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1743
2.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
3804
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
949
75.3 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
58% |
1152
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (Q)
|
96% |
3347
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2580
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
993
7.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
3813
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5029
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3930
5.05 IPS |
|
|
Style Transfer (Q)
|
87% |
6804
8.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1732
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
517
690.4 IPS |
|
|
Text Classification (Q)
|
97% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.24 IPS |
|
|
Machine Translation (Q)
|
68% |
1436
27.7 IPS |
