Dell Inc. Precision 5820 Tower
Geekbench AI Score
2996
Single Precision Score
723
Half Precision Score
3840
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | bobolopolis |
| Upload Date | February 05 2025 06:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2155 |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 0X8DXD |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2155 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
94% |
4110
768.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1842
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7284
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
6422
7.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
14694
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2021
160.3 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
58% |
2829
309.1 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (Q)
|
96% |
7490
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7897
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
857
6.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
9317
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19923
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14248
18.3 IPS |
|
|
Style Transfer (Q)
|
87% |
16111
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2691
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
406
541.8 IPS |
|
|
Text Classification (Q)
|
97% |
516
691.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
68% |
1421
27.5 IPS |
