Dell Inc. OptiPlex 7070
Geekbench AI Score
2151
Single Precision Score
2107
Half Precision Score
3574
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 08:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8500 CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Dell Inc. OptiPlex 7070 |
| Motherboard | Dell Inc. 0Y3R3K |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1466
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
1473
273.8 IPS |
|
|
Image Classification (Q)
|
100% |
2463
458.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2307
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3149
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3018
3.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
6167
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.4 IPS |
|
|
Object Detection (HP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (Q)
|
87% |
2498
200.3 IPS |
|
|
Face Detection (SP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
5924
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3550
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3435
26.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5682
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8350
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8531
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17476
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3514
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (Q)
|
91% |
1203
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1489
25.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1565
27.0 IPS |
