Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
1406
Single Precision Score
575
Half Precision Score
1422
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 06 2025 08:28 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2623 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2623 v3 |
| Topology | 2 Processors, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1083
201.4 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.9 IPS |
|
|
Image Classification (Q)
|
96% |
1412
263.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2583
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
3919
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.4 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
58% |
887
96.9 IPS |
|
|
Face Detection (SP)
|
100% |
2672
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (Q)
|
96% |
2756
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3711
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
812
6.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
3742
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6059
7.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4656
5.99 IPS |
|
|
Style Transfer (Q)
|
87% |
6129
7.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
708
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
586
781.8 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.4 IPS |
|
|
Text Classification (Q)
|
97% |
199
266.8 IPS |
|
|
Machine Translation (SP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.68 IPS |
|
|
Machine Translation (Q)
|
68% |
867
16.8 IPS |
