Dell Inc. Precision Tower 5810
Geekbench AI Score
11567
Single Precision Score
18667
Half Precision Score
8240
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ripper |
| Upload Date | January 06 2025 06:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
4314
802.3 IPS |
|
|
Image Classification (HP)
|
99% |
7403
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
3630
677.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6940
112.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9379
152.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5968
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
67628
78.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
170929
199.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57107
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
5950
472.0 IPS |
|
|
Object Detection (HP)
|
100% |
9691
768.7 IPS |
|
|
Object Detection (Q)
|
84% |
4323
348.7 IPS |
|
|
Face Detection (SP)
|
100% |
13522
160.7 IPS |
|
|
Face Detection (HP)
|
100% |
19902
236.5 IPS |
|
|
Face Detection (Q)
|
97% |
11172
133.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31055
239.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
53583
414.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
21625
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
107871
138.7 IPS |
|
|
Style Transfer (HP)
|
100% |
262192
337.1 IPS |
|
|
Style Transfer (Q)
|
98% |
88819
114.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17514
646.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26892
993.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12011
444.8 IPS |
|
|
Text Classification (SP)
|
100% |
1877
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
2446
3.26 KIPS |
|
|
Text Classification (Q)
|
97% |
912
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2430
41.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1148
21.5 IPS |
