Dell Inc. OptiPlex 3040
Geekbench AI Score
435
Single Precision Score
269
Half Precision Score
374
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | February 05 2026 08:14 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.5 IPS |
|
|
Image Classification (Q)
|
100% |
218
40.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
277
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
828
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
793
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (Q)
|
86% |
235
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (Q)
|
97% |
469
5.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
836
6.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
475
3.67 IPS |
|
|
Depth Estimation (Q)
|
77% |
720
5.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1659
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1062
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1528
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
260
9.61 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.7 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.1 IPS |
|
|
Text Classification (Q)
|
97% |
131
175.2 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (HP)
|
96% |
229
3.96 IPS |
|
|
Machine Translation (Q)
|
70% |
181
3.40 IPS |
