Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
2872
Single Precision Score
1019
Half Precision Score
2422
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | January 06 2025 02:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2687W v3 |
| 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 E5-2687W v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2432
452.2 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (Q)
|
96% |
2404
448.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6017
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4409
5.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
6243
7.38 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
58% |
1616
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
4816
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
4569
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6938
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1371
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5620
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12575
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9933
12.8 IPS |
|
|
Style Transfer (Q)
|
87% |
10230
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1567
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1691
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
449
598.7 IPS |
|
|
Text Classification (Q)
|
97% |
325
435.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1510
29.2 IPS |
