Hewlett-Packard HP Z820 Workstation
Geekbench AI Score
812
Single Precision Score
811
Half Precision Score
1118
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | SiggiTron |
| Upload Date | April 06 2025 01:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2643 0 @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Hewlett-Packard HP Z820 Workstation |
| Motherboard | Hewlett-Packard 158B |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2643 |
| Topology | 2 Processors, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (Q)
|
100% |
717
133.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
860
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
1503
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
87% |
703
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
2004
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1369
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1371
10.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
1852
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2160
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2157
2.77 IPS |
|
|
Style Transfer (Q)
|
98% |
4533
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
911
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
692
924.3 IPS |
|
|
Text Classification (HP)
|
100% |
696
928.4 IPS |
|
|
Text Classification (Q)
|
91% |
354
475.2 IPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
100% |
864
14.9 IPS |
