Dell Inc. OptiPlex 5080
Geekbench AI Score
1840
Single Precision Score
474
Half Precision Score
1797
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| 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% |
968
180.1 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.9 IPS |
|
|
Image Classification (Q)
|
97% |
1346
251.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1234
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4405
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3176
3.71 IPS |
|
|
Pose Estimation (Q)
|
87% |
7304
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
1171
92.8 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.69 IPS |
|
|
Object Detection (Q)
|
86% |
899
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
182
2.16 IPS |
|
|
Face Detection (Q)
|
96% |
2274
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4203
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
567
4.37 IPS |
|
|
Depth Estimation (Q)
|
76% |
3081
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9720
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7796
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
8482
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1886
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
359
479.5 IPS |
|
|
Text Classification (Q)
|
97% |
279
374.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1033
23.0 IPS |
