Dell Precision 5820 Tower Dell Inc. Precision 5820 Tower
Geekbench AI Score
3161
Single Precision Score
3082
Half Precision Score
2237
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | EldeeGeekBench |
| Upload Date | January 31 2025 03:56 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5820 Tower |
| Motherboard | Dell Inc. 0X8DXD |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2140B |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (Q)
|
99% |
1028
191.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1470
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11789
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11000
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10120
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (Q)
|
83% |
1308
105.7 IPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
2395
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6260
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6013
46.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
4788
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20317
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18656
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16968
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4608
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4438
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3082
114.1 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
435
583.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1346
23.3 IPS |
|
|
Machine Translation (Q)
|
70% |
603
11.3 IPS |
