Dell Inc. Precision Tower 5810
Geekbench AI Score
3100
Single Precision Score
1048
Half Precision Score
2526
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ripper |
| Upload Date | January 06 2025 06:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0HHV7N |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2711
504.1 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
1386
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6901
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4949
5.77 IPS |
|
|
Pose Estimation (Q)
|
86% |
7203
8.52 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
58% |
1715
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
5245
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
4808
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7700
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1373
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6145
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14034
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11353
14.6 IPS |
|
|
Style Transfer (Q)
|
87% |
10957
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1777
65.9 IPS |
|
|
Text Classification (SP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
448
597.3 IPS |
|
|
Text Classification (Q)
|
97% |
287
384.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (Q)
|
68% |
1495
28.9 IPS |
