Hewlett-Packard HP Z820 Workstation
Geekbench AI Score
37
Single Precision Score
38
Half Precision Score
27
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 01:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2643 |
| 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% |
23
4.24 IPS |
|
|
Image Classification (HP)
|
100% |
20
3.71 IPS |
|
|
Image Classification (Q)
|
97% |
16
2.96 IPS |
|
|
Image Segmentation (SP)
|
100% |
27
0.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
27
0.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
20
0.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
37
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
37
0.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
30
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
23
1.81 IPS |
|
|
Object Detection (HP)
|
100% |
23
1.80 IPS |
|
|
Object Detection (Q)
|
87% |
18
1.43 IPS |
|
|
Face Detection (SP)
|
100% |
73
0.87 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
58
0.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
54
0.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
54
0.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
36
0.33 IPS |
|
|
Style Transfer (SP)
|
100% |
114
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
114
0.15 IPS |
|
|
Style Transfer (Q)
|
98% |
91
0.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24
0.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24
0.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19
0.70 IPS |
|
|
Text Classification (SP)
|
100% |
25
33.2 IPS |
|
|
Text Classification (HP)
|
100% |
25
32.8 IPS |
|
|
Text Classification (Q)
|
91% |
18
23.9 IPS |
|
|
Machine Translation (SP)
|
100% |
42
0.72 IPS |
|
|
Machine Translation (HP)
|
100% |
54
0.92 IPS |
|
|
Machine Translation (Q)
|
58% |
22
0.53 IPS |
