Dell Inc. OptiPlex 3060 32GB, i7, GeForce GT 1030-4Gb Dell Inc. OptiPlex 3060
Geekbench AI Score
1048
Single Precision Score
1496
Half Precision Score
786
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spj911 |
| Upload Date | December 28 2024 09:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 3060 |
| Motherboard | Dell Inc. 04Y8V0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
99% |
281
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
481
7.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
3092
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4614
5.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
2626
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (Q)
|
83% |
363
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
695
8.25 IPS |
|
|
Face Detection (HP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
611
7.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
2105
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2833
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
1686
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10028
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8762
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7191
9.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
980
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
502
669.6 IPS |
|
|
Text Classification (HP)
|
100% |
585
780.6 IPS |
|
|
Text Classification (Q)
|
97% |
335
449.2 IPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
96% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
70% |
290
5.44 IPS |
