Dell Inc. Precision 5820 Tower X-Series
Geekbench AI Score
2178
Single Precision Score
2192
Half Precision Score
1432
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | samlepoth |
| Upload Date | March 13 2026 04:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-10980XE |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Dell Inc. Precision 5820 Tower X-Series |
| Motherboard | Dell Inc. 02M8NY |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1652
307.2 IPS |
|
|
Image Classification (HP)
|
100% |
1711
318.2 IPS |
|
|
Image Classification (Q)
|
99% |
1033
192.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
941
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
3903
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
1893
150.1 IPS |
|
|
Object Detection (HP)
|
100% |
1903
150.9 IPS |
|
|
Object Detection (Q)
|
85% |
1203
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
2117
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2704
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2700
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1912
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3224
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3170
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
6031
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1699
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1524
56.5 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (Q)
|
92% |
465
624.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (Q)
|
58% |
461
10.8 IPS |
