Hewlett-Packard HP Z820 Workstation
Geekbench AI Score
1100
Single Precision Score
477
Half Precision Score
951
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 14 2025 01:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2609 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z820 Workstation |
| Motherboard | Hewlett-Packard 158B |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2609 v2 |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
850
158.0 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
96% |
800
149.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
485
7.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1923
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1429
1.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
1615
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
853
67.7 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.3 IPS |
|
|
Object Detection (Q)
|
58% |
575
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
545
6.47 IPS |
|
|
Face Detection (Q)
|
96% |
1772
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2350
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
723
5.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
1648
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4552
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3638
4.68 IPS |
|
|
Style Transfer (Q)
|
87% |
3009
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
623
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.1 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.0 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.1 IPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
68% |
752
14.5 IPS |
