Dell Inc. Precision 5820 Tower X-Series
Geekbench AI Score
8336
Single Precision Score
8454
Half Precision Score
11361
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 10:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-7980XE CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5820 Tower X-Series |
| Motherboard | Dell Inc. 02M8NY |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5323
989.9 IPS |
|
|
Image Classification (HP)
|
100% |
5349
994.7 IPS |
|
|
Image Classification (Q)
|
100% |
6536
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7383
119.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8063
130.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10425
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15856
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16322
19.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
27019
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
4355
345.4 IPS |
|
|
Object Detection (HP)
|
100% |
4392
348.3 IPS |
|
|
Object Detection (Q)
|
87% |
7467
598.9 IPS |
|
|
Face Detection (SP)
|
100% |
11321
134.5 IPS |
|
|
Face Detection (HP)
|
100% |
11177
132.8 IPS |
|
|
Face Detection (Q)
|
97% |
21379
254.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14028
108.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13721
105.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
20677
163.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44961
57.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45680
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
71307
91.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8546
315.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8765
323.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11964
443.2 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (Q)
|
91% |
1711
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4040
69.6 IPS |
