Dell Inc. OptiPlex 3040
Geekbench AI Score
1231
Single Precision Score
566
Half Precision Score
1387
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| Upload Date | June 27 2025 10:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3040 |
| Motherboard | Dell Inc. 0MGK50 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
721
134.0 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
96% |
1417
264.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1459
1.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
2233
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
58% |
930
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.03 IPS |
|
|
Face Detection (Q)
|
96% |
1820
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2734
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
635
4.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
3489
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5089
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3764
4.84 IPS |
|
|
Style Transfer (Q)
|
87% |
6440
8.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1266
46.9 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.2 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
68% |
855
16.5 IPS |
