Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
3440
Single Precision Score
1097
Half Precision Score
3711
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 01:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697A v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2772
515.5 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (Q)
|
96% |
3153
588.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
4230
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7483
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5600
6.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
8463
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
2734
216.9 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
58% |
2386
260.7 IPS |
|
|
Face Detection (SP)
|
100% |
7441
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5885
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9112
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8129
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15596
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11478
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11989
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2725
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
417
556.6 IPS |
|
|
Text Classification (Q)
|
97% |
695
931.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
68% |
1697
32.8 IPS |
