Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
5245
Single Precision Score
5228
Half Precision Score
4659
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | August 16 2025 01:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz |
| 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% |
3322
617.9 IPS |
|
|
Image Classification (HP)
|
100% |
3422
636.4 IPS |
|
|
Image Classification (Q)
|
100% |
3217
598.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4511
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4469
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4548
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7162
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
7090
8.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
8768
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
3061
242.8 IPS |
|
|
Object Detection (Q)
|
87% |
3353
268.9 IPS |
|
|
Face Detection (SP)
|
100% |
8173
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
8195
97.4 IPS |
|
|
Face Detection (Q)
|
97% |
10521
125.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8520
65.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
9503
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22632
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22891
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25637
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4636
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4684
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4976
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (Q)
|
91% |
295
396.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2813
48.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2980
51.3 IPS |
