Dell Inc. OptiPlex 5080
Geekbench AI Score
1068
Single Precision Score
1070
Half Precision Score
821
Quantized Score
Geekbench AI 1.0.0 Corporate for Linux AVX2
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
676
125.8 IPS |
|
|
Image Classification (Q)
|
99% |
577
107.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
548
8.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
1577
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1574
1.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
1648
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (Q)
|
86% |
639
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1477
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1277
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1342
10.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
74% |
1252
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1969
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1971
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3067
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
755
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
754
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
783
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
565
754.1 IPS |
|
|
Text Classification (HP)
|
100% |
570
761.3 IPS |
|
|
Text Classification (Q)
|
92% |
332
446.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
58% |
329
7.71 IPS |
