Dell Inc. OptiPlex 7050
Geekbench AI Score
1424
Single Precision Score
1329
Half Precision Score
2115
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 12:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | Dell Inc. OptiPlex 7050 |
| Motherboard | Dell Inc. 0NW6H5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
779
144.8 IPS |
|
|
Image Classification (HP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (Q)
|
100% |
1326
246.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1229
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1923
2.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
3612
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
87% |
1055
84.6 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
2163
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3295
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3477
26.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5732
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7579
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
5428
6.98 IPS |
|
|
Style Transfer (Q)
|
98% |
9521
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1914
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
91% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1440
24.8 IPS |
