Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
5310
Single Precision Score
5304
Half Precision Score
4623
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | December 07 2025 05:09 PM |
| Views | 5 |
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% |
3416
635.2 IPS |
|
|
Image Classification (HP)
|
100% |
3465
644.4 IPS |
|
|
Image Classification (Q)
|
100% |
3204
595.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4547
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4557
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4585
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7274
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
7273
8.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
8784
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
3165
251.0 IPS |
|
|
Object Detection (HP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (Q)
|
87% |
3344
268.2 IPS |
|
|
Face Detection (SP)
|
100% |
8295
98.6 IPS |
|
|
Face Detection (HP)
|
100% |
8262
98.2 IPS |
|
|
Face Detection (Q)
|
97% |
10558
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8519
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8466
65.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
9535
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23099
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22997
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25676
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4654
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5000
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (Q)
|
91% |
290
389.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2760
47.5 IPS |
