Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
1486
Single Precision Score
733
Half Precision Score
1617
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 09 2026 10:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1620 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1620 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.7 IPS |
|
|
Image Classification (Q)
|
96% |
1167
217.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
1403
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2138
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1797
2.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
2452
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.7 IPS |
|
|
Object Detection (Q)
|
58% |
845
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
2431
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
820
9.74 IPS |
|
|
Face Detection (Q)
|
96% |
2735
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2833
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1031
7.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
2795
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5283
6.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4082
5.25 IPS |
|
|
Style Transfer (Q)
|
87% |
5131
6.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1257
46.6 IPS |
|
|
Text Classification (SP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.8 IPS |
|
|
Text Classification (Q)
|
97% |
641
859.0 IPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1146
22.1 IPS |
