Dell Inc. OptiPlex 5080
Geekbench AI Score
1961
Single Precision Score
533
Half Precision Score
2132
Quantized Score
Geekbench AI 1.0.0 Corporate for Linux AVX2
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Dell Inc. OptiPlex 5080 |
| Motherboard | Dell Inc. 00VTMF |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1033
192.2 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.3 IPS |
|
|
Image Classification (Q)
|
94% |
1417
264.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1426
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4513
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3097
3.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
7382
8.72 IPS |
|
|
Object Detection (SP)
|
100% |
1208
95.9 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
86% |
967
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
1714
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.02 IPS |
|
|
Face Detection (Q)
|
96% |
2699
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4394
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
695
5.36 IPS |
|
|
Depth Estimation (Q)
|
76% |
3124
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9929
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8042
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
8691
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2009
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
331
441.3 IPS |
|
|
Text Classification (Q)
|
97% |
742
993.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
60% |
1235
27.6 IPS |
