Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
3926
Single Precision Score
1085
Half Precision Score
3838
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 01:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2698 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v4 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3395
631.3 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (Q)
|
96% |
3275
611.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
4722
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9815
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
9468
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
3379
268.1 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
58% |
2425
264.9 IPS |
|
|
Face Detection (SP)
|
100% |
8762
104.1 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
5885
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9897
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1386
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8649
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19567
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12880
16.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13048
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2780
103.0 IPS |
|
|
Text Classification (SP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
416
555.7 IPS |
|
|
Text Classification (Q)
|
97% |
637
852.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
68% |
1663
32.1 IPS |
