Dell Inc. Precision 5820 Tower
Geekbench AI Score
13686
Single Precision Score
16919
Half Precision Score
9246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | EldeeGeekBench |
| Upload Date | January 31 2025 03:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro GV100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 0X8DXD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2125 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5267
979.4 IPS |
|
|
Image Classification (HP)
|
100% |
5719
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
3914
727.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7243
117.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8777
142.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5920
96.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
129883
151.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
188814
220.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
89295
104.6 IPS |
|
|
Object Detection (SP)
|
100% |
6959
552.0 IPS |
|
|
Object Detection (HP)
|
100% |
7556
599.4 IPS |
|
|
Object Detection (Q)
|
85% |
5229
420.9 IPS |
|
|
Face Detection (SP)
|
100% |
14603
173.5 IPS |
|
|
Face Detection (HP)
|
100% |
21622
256.9 IPS |
|
|
Face Detection (Q)
|
97% |
12042
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38922
299.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41837
323.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
24340
194.6 IPS |
|
|
Style Transfer (SP)
|
100% |
175414
225.5 IPS |
|
|
Style Transfer (HP)
|
100% |
242416
311.6 IPS |
|
|
Style Transfer (Q)
|
98% |
126778
163.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26900
993.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25421
938.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14434
534.5 IPS |
|
|
Text Classification (SP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (Q)
|
97% |
705
944.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2261
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2188
37.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1117
20.9 IPS |
