Dell Inc. OptiPlex 7040
Geekbench AI Score
1994
Single Precision Score
1995
Half Precision Score
2781
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kamisama |
| Upload Date | October 30 2025 08:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz |
| 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% |
1203
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
1216
226.1 IPS |
|
|
Image Classification (Q)
|
100% |
1774
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2167
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
4502
5.28 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
100% |
1191
94.5 IPS |
|
|
Object Detection (Q)
|
87% |
1875
150.4 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2495
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
4978
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3276
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3231
24.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
5053
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7430
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
7574
9.74 IPS |
|
|
Style Transfer (Q)
|
98% |
13023
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2638
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1268
1.69 KIPS |
|
|
Text Classification (Q)
|
91% |
575
772.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1722
29.7 IPS |
