Dell Inc. Precision 5820 Tower X-Series
Geekbench AI Score
2199
Single Precision Score
2201
Half Precision Score
1446
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | samlepoth |
| Upload Date | March 13 2026 04:52 AM |
| Views | 12 |
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% |
1658
308.3 IPS |
|
|
Image Classification (HP)
|
100% |
1719
319.7 IPS |
|
|
Image Classification (Q)
|
99% |
1040
194.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
971
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3047
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
3936
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (Q)
|
85% |
1206
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
2142
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2705
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2679
20.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1884
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3286
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3226
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
6030
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1523
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
1167
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (Q)
|
92% |
474
636.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2139
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (Q)
|
58% |
476
11.2 IPS |
