Dell Inc. Precision 5820 Tower X-Series
Geekbench AI Score
2861
Single Precision Score
845
Half Precision Score
5093
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | kwantumcrash |
| Upload Date | February 28 2026 04:35 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10980XE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5820 Tower X-Series |
| Motherboard | Dell Inc. 0XNJ2Y |
| Power Plan | UR Win10 Desktop |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3002
558.3 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.1 IPS |
|
|
Image Classification (Q)
|
99% |
4760
887.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
7098
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7149
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4899
5.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
27023
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
86% |
5397
433.7 IPS |
|
|
Face Detection (SP)
|
100% |
4681
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (Q)
|
97% |
6614
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7855
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
976
7.52 IPS |
|
|
Depth Estimation (Q)
|
78% |
9582
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15286
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9642
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16608
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3086
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
352
469.9 IPS |
|
|
Text Classification (Q)
|
97% |
517
692.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
65% |
1421
28.6 IPS |
