Dell Inc. Precision 7820 Tower
Geekbench AI Score
1997
Single Precision Score
758
Half Precision Score
2047
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 31 2025 12:32 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
96% |
1943
362.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
946
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3660
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2479
2.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
5577
6.59 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
58% |
1330
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (Q)
|
96% |
3620
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4277
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1085
8.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
4914
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7167
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4851
6.24 IPS |
|
|
Style Transfer (Q)
|
87% |
8832
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1427
52.9 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
434
578.7 IPS |
|
|
Text Classification (Q)
|
97% |
300
402.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (Q)
|
68% |
1412
27.3 IPS |
