Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
8604
Single Precision Score
8399
Half Precision Score
6191
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | August 16 2025 01:07 PM |
| Views | 5 |
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% |
2232
415.2 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.5 IPS |
|
|
Image Classification (Q)
|
99% |
1924
358.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5903
95.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5738
93.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4689
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
66097
77.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
36218
42.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
50047
58.6 IPS |
|
|
Object Detection (SP)
|
100% |
2956
234.5 IPS |
|
|
Object Detection (HP)
|
100% |
4537
359.8 IPS |
|
|
Object Detection (Q)
|
84% |
2481
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
6029
71.6 IPS |
|
|
Face Detection (HP)
|
100% |
9029
107.3 IPS |
|
|
Face Detection (Q)
|
97% |
5147
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19780
152.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17381
134.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
14977
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
103147
132.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58399
75.1 IPS |
|
|
Style Transfer (Q)
|
98% |
76598
98.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17985
664.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13550
500.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10573
391.5 IPS |
|
|
Text Classification (SP)
|
100% |
1311
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
823
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2921
50.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1438
27.0 IPS |
