Dell Inc. OptiPlex 3040
Geekbench AI Score
1094
Single Precision Score
1090
Half Precision Score
1533
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | February 05 2026 08:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-6100T CPU @ 3.20GHz |
| 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% |
621
115.6 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
100% |
999
185.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1068
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1238
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1231
1.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
2352
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
87% |
1049
84.2 IPS |
|
|
Face Detection (SP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
2111
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1651
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
2760
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3750
4.82 IPS |
|
|
Style Transfer (HP)
|
100% |
3734
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6638
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1377
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
91% |
416
559.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1231
21.2 IPS |
