Dell Inc. OptiPlex 5080
Geekbench AI Score
1006
Single Precision Score
1161
Half Precision Score
801
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
427
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
100% |
390
72.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
562
9.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3989
4.65 IPS |
|
|
Pose Estimation (Q)
|
97% |
2304
2.70 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
98% |
497
39.6 IPS |
|
|
Object Detection (Q)
|
89% |
449
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1014
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
747
8.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1820
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2218
17.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
1569
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6490
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
9705
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
5696
7.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1018
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
461
614.8 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.1 IPS |
|
|
Text Classification (Q)
|
97% |
287
384.3 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
60% |
248
5.54 IPS |
