Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
3754
Single Precision Score
1149
Half Precision Score
3291
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | zyyads |
| Upload Date | July 01 2025 06:37 PM |
| Views | 6 |
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 |
| Power Plan | Balanced |
| 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% |
3025
562.5 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.1 IPS |
|
|
Image Classification (Q)
|
96% |
3124
583.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
3364
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5760
6.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
8850
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
3294
261.2 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
58% |
2207
241.1 IPS |
|
|
Face Detection (SP)
|
100% |
7987
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
5585
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9282
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1502
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8339
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17611
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14238
18.3 IPS |
|
|
Style Transfer (Q)
|
87% |
12659
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2317
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2770
102.7 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.5 IPS |
|
|
Text Classification (Q)
|
97% |
284
380.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
68% |
1568
30.3 IPS |
