Dell Inc. Precision Tower 5810
Geekbench AI Score
1216
Single Precision Score
628
Half Precision Score
1109
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | December 12 2024 10:30 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1620 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0K240Y |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1620 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (Q)
|
96% |
882
164.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
702
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1518
1.77 IPS |
|
|
Pose Estimation (Q)
|
87% |
2384
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
86% |
661
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
96% |
1599
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2391
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
926
7.14 IPS |
|
|
Depth Estimation (Q)
|
77% |
2019
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5008
6.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3744
4.81 IPS |
|
|
Style Transfer (Q)
|
87% |
4982
6.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
941
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
759
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
959
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
869
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
365
487.3 IPS |
|
|
Text Classification (Q)
|
97% |
263
351.8 IPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
60% |
713
15.9 IPS |
