Dell Inc. Precision 7820 Tower
Geekbench AI Score
1479
Single Precision Score
594
Half Precision Score
2765
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 03:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Silver 4210R |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7820 Tower |
| Motherboard | Dell Inc. 0804P1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4210R |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
983
182.8 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.8 IPS |
|
|
Image Classification (Q)
|
99% |
2429
453.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1358
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2464
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
9892
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.7 IPS |
|
|
Object Detection (Q)
|
86% |
2676
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
634
7.54 IPS |
|
|
Face Detection (Q)
|
97% |
4504
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3505
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
839
6.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
6723
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6810
8.75 IPS |
|
|
Style Transfer (HP)
|
100% |
5079
6.53 IPS |
|
|
Style Transfer (Q)
|
98% |
11900
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1486
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.6 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.3 IPS |
|
|
Text Classification (Q)
|
97% |
503
674.3 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
65% |
1111
22.3 IPS |
