Dell Inc. Precision 7920 Tower
Geekbench AI Score
2233
Single Precision Score
704
Half Precision Score
2458
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pingfan2 |
| Upload Date | January 17 2025 03:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 5115 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Precision 7920 Tower |
| Motherboard | Dell Inc. 0RN4PJ |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 5115 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
96% |
2371
442.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
1352
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3672
4.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
10379
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (Q)
|
58% |
1934
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
709
8.42 IPS |
|
|
Face Detection (Q)
|
96% |
4603
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
972
7.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
6260
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12226
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8451
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
8778
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1230
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
514
685.7 IPS |
|
|
Text Classification (HP)
|
100% |
240
319.8 IPS |
|
|
Text Classification (Q)
|
97% |
428
572.8 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
68% |
943
18.2 IPS |
