Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
2599
Single Precision Score
848
Half Precision Score
1957
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 01 2024 03:10 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2683 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2683 v4 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1229
228.5 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
1425
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13482
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4912
5.73 IPS |
|
|
Pose Estimation (Q)
|
87% |
12297
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.1 IPS |
|
|
Object Detection (Q)
|
86% |
996
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
694
8.24 IPS |
|
|
Face Detection (Q)
|
96% |
1966
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7165
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1100
8.48 IPS |
|
|
Depth Estimation (Q)
|
77% |
3810
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21147
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11422
14.7 IPS |
|
|
Style Transfer (Q)
|
87% |
10893
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1900
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1701
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
828
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
296
395.1 IPS |
|
|
Text Classification (Q)
|
97% |
261
350.2 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
60% |
958
21.4 IPS |
