Dell Inc. OptiPlex 5080
Geekbench AI Score
2555
Single Precision Score
2569
Half Precision Score
3805
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:57 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 5080 |
| Motherboard | Dell Inc. 00VTMF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (Q)
|
100% |
2754
512.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2905
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4191
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4179
4.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
8255
9.68 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (Q)
|
87% |
2752
220.7 IPS |
|
|
Face Detection (SP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
3743
44.5 IPS |
|
|
Face Detection (Q)
|
97% |
8049
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4751
36.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
4748
36.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
8003
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12290
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12295
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23155
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2394
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2399
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4408
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
601
802.6 IPS |
|
|
Text Classification (HP)
|
100% |
625
834.6 IPS |
|
|
Text Classification (Q)
|
91% |
453
609.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1965
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (Q)
|
90% |
1177
20.5 IPS |
