Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
8790
Single Precision Score
8651
Half Precision Score
6265
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | December 07 2025 05:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2322
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
3560
662.0 IPS |
|
|
Image Classification (Q)
|
99% |
1961
365.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5910
95.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5750
93.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4729
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
65873
76.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
36697
42.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
50339
59.0 IPS |
|
|
Object Detection (SP)
|
100% |
3003
238.2 IPS |
|
|
Object Detection (HP)
|
100% |
4582
363.4 IPS |
|
|
Object Detection (Q)
|
84% |
2537
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
9145
108.7 IPS |
|
|
Face Detection (Q)
|
97% |
5174
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19972
153.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17488
135.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14812
118.4 IPS |
|
|
Style Transfer (SP)
|
100% |
103768
133.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58321
75.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77105
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18346
677.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13852
511.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10917
404.2 IPS |
|
|
Text Classification (SP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1772
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2980
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1411
26.5 IPS |
