Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
1239
Single Precision Score
1244
Half Precision Score
1757
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 06 2025 08:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2623 v3 @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2623 v3 |
| Topology | 2 Processors, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
729
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.8 IPS |
|
|
Image Classification (Q)
|
100% |
1108
206.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1233
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
2575
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
705
56.0 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.8 IPS |
|
|
Object Detection (Q)
|
87% |
1100
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
1993
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
2962
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1886
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1879
14.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
2914
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4042
5.20 IPS |
|
|
Style Transfer (HP)
|
100% |
4059
5.22 IPS |
|
|
Style Transfer (Q)
|
98% |
7166
9.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1501
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (Q)
|
91% |
648
871.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1211
20.9 IPS |
