Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
3265
Single Precision Score
1078
Half Precision Score
2986
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 12:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2979
554.0 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
96% |
2921
545.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
2960
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5474
6.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
7461
8.82 IPS |
|
|
Object Detection (SP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
58% |
2005
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
5619
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
5095
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7793
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1367
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6734
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14160
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11696
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11292
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2490
92.3 IPS |
|
|
Text Classification (SP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.3 IPS |
|
|
Text Classification (Q)
|
97% |
298
398.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (Q)
|
68% |
1516
29.3 IPS |
