Dell Inc. Precision 7920 Tower
Geekbench AI Score
3288
Single Precision Score
603
Half Precision Score
3368
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 06:00 PM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 6230 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Dell Inc. Precision 7920 Tower |
| Motherboard | Dell Inc. 060K5C |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6230 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1653
307.5 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
97% |
2216
413.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.15 IPS |
|
|
Image Segmentation (Q)
|
99% |
1865
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13321
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6428
7.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
31689
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
88% |
1245
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
244
2.90 IPS |
|
|
Face Detection (Q)
|
97% |
3760
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
681
5.25 IPS |
|
|
Depth Estimation (Q)
|
77% |
5664
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23435
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14848
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21793
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2602
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2531
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
278
371.7 IPS |
|
|
Text Classification (Q)
|
97% |
689
923.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (Q)
|
60% |
1425
31.8 IPS |
