Dell Precision 5820 X-Series GTX 3050 Dell Inc. Precision 5820 Tower X-Series
Geekbench AI Score
6800
Single Precision Score
7189
Half Precision Score
15944
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | kwantumcrash |
| Upload Date | February 28 2026 05:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz |
| 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% |
4416
821.3 IPS |
|
|
Image Classification (HP)
|
100% |
4832
898.6 IPS |
|
|
Image Classification (Q)
|
100% |
9168
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6825
110.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7014
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12324
199.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11603
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14234
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
54913
64.3 IPS |
|
|
Object Detection (SP)
|
100% |
3470
275.2 IPS |
|
|
Object Detection (HP)
|
100% |
3387
268.7 IPS |
|
|
Object Detection (Q)
|
88% |
10281
824.2 IPS |
|
|
Face Detection (SP)
|
100% |
7952
94.5 IPS |
|
|
Face Detection (HP)
|
100% |
7955
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
27079
321.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10007
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12129
93.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26896
209.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36597
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39031
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
145314
187.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7521
277.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7633
281.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18626
689.8 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2381
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3546
61.1 IPS |
