Dell Inc. OptiPlex 5080
Geekbench AI Score
1709
Single Precision Score
2411
Half Precision Score
2296
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 05:41 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1062
197.5 IPS |
|
|
Image Classification (HP)
|
100% |
1658
308.4 IPS |
|
|
Image Classification (Q)
|
100% |
1516
281.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2127
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2833
3.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
2603
3.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
3870
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
1037
82.2 IPS |
|
|
Object Detection (HP)
|
99% |
1616
128.5 IPS |
|
|
Object Detection (Q)
|
88% |
1506
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
4937
58.7 IPS |
|
|
Face Detection (Q)
|
97% |
4435
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5445
42.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
4837
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7983
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10517
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9502
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1364
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2260
83.7 IPS |
|
|
Text Classification (SP)
|
71% |
620
896.2 IPS |
|
|
Text Classification (HP)
|
71% |
682
986.4 IPS |
|
|
Text Classification (Q)
|
92% |
542
727.5 IPS |
|
|
Machine Translation (SP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (HP)
|
97% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
90% |
870
15.1 IPS |
