Dell Inc. Precision Tower 5810
Geekbench AI Score
1706
Single Precision Score
812
Half Precision Score
2044
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 08 2025 03:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0HHV7N |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v4 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
96% |
1525
284.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
1968
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3314
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2593
3.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
3956
4.68 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
58% |
1049
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
2593
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (Q)
|
96% |
2973
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3155
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1093
8.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
3488
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7493
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
5516
7.09 IPS |
|
|
Style Transfer (Q)
|
87% |
6752
8.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1193
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1577
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.3 IPS |
|
|
Text Classification (Q)
|
97% |
724
969.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (Q)
|
68% |
1281
24.8 IPS |
