Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
2895
Single Precision Score
851
Half Precision Score
2628
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v4 |
| Topology | 2 Processors, 36 Cores, 72 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 160.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2427
451.3 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
96% |
2671
498.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
1392
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8769
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
3687
4.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
11233
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
58% |
2061
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
5484
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
96% |
4957
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7705
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1215
9.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
7275
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17626
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8577
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
8968
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1792
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1669
61.8 IPS |
|
|
Text Classification (SP)
|
100% |
669
892.7 IPS |
|
|
Text Classification (HP)
|
100% |
336
448.0 IPS |
|
|
Text Classification (Q)
|
97% |
271
363.0 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
68% |
1251
24.2 IPS |
