Dell Inc. OptiPlex 7040
Geekbench AI Score
1450
Single Precision Score
739
Half Precision Score
2043
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kamisama |
| Upload Date | October 30 2025 08:45 AM |
| Views | 8 |
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 | zoic's 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1085
201.8 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
96% |
1184
221.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
2009
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1878
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1536
1.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
3713
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
965
76.6 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
58% |
1146
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (Q)
|
96% |
3212
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2808
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1036
7.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
3699
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5518
7.09 IPS |
|
|
Style Transfer (HP)
|
100% |
4281
5.50 IPS |
|
|
Style Transfer (Q)
|
87% |
6611
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
492
657.4 IPS |
|
|
Text Classification (Q)
|
97% |
732
980.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (Q)
|
68% |
1234
23.8 IPS |
