Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
5279
Single Precision Score
5236
Half Precision Score
4626
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | January 31 2026 02:13 PM |
| Views | 4 |
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% |
3453
642.2 IPS |
|
|
Image Classification (HP)
|
100% |
3462
643.8 IPS |
|
|
Image Classification (Q)
|
100% |
3214
597.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4560
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4559
73.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4633
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7220
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
7093
8.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
8816
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
3144
249.4 IPS |
|
|
Object Detection (HP)
|
100% |
3128
248.1 IPS |
|
|
Object Detection (Q)
|
87% |
3353
268.9 IPS |
|
|
Face Detection (SP)
|
100% |
8282
98.4 IPS |
|
|
Face Detection (HP)
|
100% |
8213
97.6 IPS |
|
|
Face Detection (Q)
|
97% |
10580
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8523
65.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9632
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22145
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22942
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25882
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4686
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4660
172.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5005
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (Q)
|
91% |
272
365.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2840
48.9 IPS |
