Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
11584
Single Precision Score
18361
Half Precision Score
8352
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Frankynator2000 |
| Upload Date | April 16 2025 07:18 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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 E5-2640 v4 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4521
840.7 IPS |
|
|
Image Classification (HP)
|
99% |
6839
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
3608
673.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7013
113.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9244
149.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5863
95.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
67468
78.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
164662
192.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
56036
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
6013
477.0 IPS |
|
|
Object Detection (HP)
|
100% |
9614
762.6 IPS |
|
|
Object Detection (Q)
|
84% |
4833
389.8 IPS |
|
|
Face Detection (SP)
|
100% |
13353
158.7 IPS |
|
|
Face Detection (HP)
|
100% |
19475
231.4 IPS |
|
|
Face Detection (Q)
|
97% |
11160
133.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
32372
249.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56949
440.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
22602
180.9 IPS |
|
|
Style Transfer (SP)
|
100% |
112190
144.2 IPS |
|
|
Style Transfer (HP)
|
100% |
263895
339.2 IPS |
|
|
Style Transfer (Q)
|
98% |
90782
117.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17897
660.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27212
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12188
451.3 IPS |
|
|
Text Classification (SP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (HP)
|
99% |
2325
3.10 KIPS |
|
|
Text Classification (Q)
|
97% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1129
21.2 IPS |
