Hewlett-Packard HP Z420 Workstation
Geekbench AI Score
1335
Single Precision Score
581
Half Precision Score
1190
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | February 05 2026 03:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z420 Workstation |
| Motherboard | Hewlett-Packard 1589 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1063
197.6 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
96% |
922
172.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1184
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1608
1.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
1859
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
58% |
617
67.4 IPS |
|
|
Face Detection (SP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (Q)
|
96% |
1979
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2676
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
800
6.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
1758
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4909
6.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3887
5.00 IPS |
|
|
Style Transfer (Q)
|
87% |
3769
4.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
922
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
894
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
632
844.0 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.4 IPS |
|
|
Text Classification (Q)
|
97% |
452
605.0 IPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
68% |
862
16.7 IPS |
