Dell Inc. OptiPlex 3040
Geekbench AI Score
1047
Single Precision Score
1589
Half Precision Score
1507
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | February 05 2026 08:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. OptiPlex 3040 |
| Motherboard | Dell Inc. 0MGK50 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
100% |
1095
203.7 IPS |
|
|
Image Classification (Q)
|
100% |
995
185.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1589
1.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
1686
1.97 IPS |
|
|
Pose Estimation (Q)
|
97% |
2274
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (HP)
|
99% |
1045
83.2 IPS |
|
|
Object Detection (Q)
|
88% |
999
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (Q)
|
97% |
2751
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1917
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3400
26.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
3091
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4526
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5965
7.67 IPS |
|
|
Style Transfer (Q)
|
98% |
5381
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1368
50.7 IPS |
|
|
Text Classification (SP)
|
71% |
392
566.9 IPS |
|
|
Text Classification (HP)
|
71% |
469
678.7 IPS |
|
|
Text Classification (Q)
|
92% |
366
491.1 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
99% |
935
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
926
16.0 IPS |
