Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
3964
Single Precision Score
3875
Half Precision Score
3688
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | December 01 2024 03:12 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2683 v4 @ 2.10GHz |
| 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% |
2911
541.4 IPS |
|
|
Image Classification (HP)
|
100% |
2293
426.4 IPS |
|
|
Image Classification (Q)
|
100% |
2686
499.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2748
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7305
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
7290
8.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
8384
9.83 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (Q)
|
87% |
2605
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
7665
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
7755
92.1 IPS |
|
|
Face Detection (Q)
|
97% |
8846
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8078
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7970
61.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8777
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22107
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22010
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23959
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4650
172.2 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.5 IPS |
|
|
Text Classification (HP)
|
100% |
564
753.4 IPS |
|
|
Text Classification (Q)
|
91% |
150
201.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1991
34.3 IPS |
