Dell Inc. Precision 7820 Tower
Geekbench AI Score
1991
Single Precision Score
762
Half Precision Score
2065
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 12:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 5122 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7820 Tower |
| Motherboard | Dell Inc. 05WNJ2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 5122 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1566
291.3 IPS |
|
|
Image Classification (HP)
|
100% |
258
47.9 IPS |
|
|
Image Classification (Q)
|
96% |
2228
416.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
972
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3470
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
5314
6.28 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
58% |
1267
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.07 IPS |
|
|
Face Detection (Q)
|
96% |
3723
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4287
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1000
7.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
4705
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7647
9.83 IPS |
|
|
Style Transfer (HP)
|
100% |
4720
6.07 IPS |
|
|
Style Transfer (Q)
|
87% |
8362
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1506
55.8 IPS |
|
|
Text Classification (SP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
455
606.7 IPS |
|
|
Text Classification (Q)
|
97% |
309
414.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (Q)
|
68% |
1419
27.4 IPS |
