Dell Inc. OptiPlex 390
Geekbench AI Score
1185
Single Precision Score
1598
Half Precision Score
894
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 24 2026 07:19 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. OptiPlex 390 |
| Motherboard | Dell Inc. 0F6X5P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2600 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
100% |
313
58.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
539
8.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
3595
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
3046
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (Q)
|
83% |
398
32.2 IPS |
|
|
Face Detection (SP)
|
100% |
762
9.06 IPS |
|
|
Face Detection (HP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
675
8.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
2379
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2981
23.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1907
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10954
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9050
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8077
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2344
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1156
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.7 IPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
404
541.7 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
96% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
70% |
329
6.16 IPS |
