Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
2632
Single Precision Score
915
Half Precision Score
2450
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | XingGuobin |
| Upload Date | May 06 2025 11:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v4 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2231
414.8 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.8 IPS |
|
|
Image Classification (Q)
|
96% |
2441
455.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1116
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5668
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
8131
9.61 IPS |
|
|
Object Detection (SP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
58% |
1742
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.95 IPS |
|
|
Face Detection (Q)
|
96% |
5038
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6936
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1218
9.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
6688
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12767
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9599
12.3 IPS |
|
|
Style Transfer (Q)
|
87% |
8729
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1468
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
394
525.7 IPS |
|
|
Text Classification (Q)
|
97% |
357
477.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1315
25.4 IPS |
