Dell Inc. OptiPlex 3060
Geekbench AI Score
1766
Single Precision Score
2511
Half Precision Score
2415
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 08:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1109
206.2 IPS |
|
|
Image Classification (HP)
|
100% |
1683
312.9 IPS |
|
|
Image Classification (Q)
|
100% |
1543
287.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2154
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
2580
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
3846
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (HP)
|
99% |
1728
137.5 IPS |
|
|
Object Detection (Q)
|
88% |
1615
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5109
60.7 IPS |
|
|
Face Detection (Q)
|
97% |
4625
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3279
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5529
42.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
5020
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7899
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10514
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9461
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2394
88.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2275
84.2 IPS |
|
|
Text Classification (SP)
|
71% |
745
1.08 KIPS |
|
|
Text Classification (HP)
|
71% |
842
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
637
855.9 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
97% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
