Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
3290
Single Precision Score
999
Half Precision Score
3699
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 06:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2678 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2678 v3 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2475
460.2 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
96% |
3013
562.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
5015
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10788
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5232
6.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
11322
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2731
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
58% |
2464
269.2 IPS |
|
|
Face Detection (SP)
|
100% |
7138
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
5882
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8808
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1376
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8428
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18128
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12086
15.5 IPS |
|
|
Style Transfer (Q)
|
87% |
10069
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2814
104.3 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
358
478.1 IPS |
|
|
Text Classification (Q)
|
97% |
552
738.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (Q)
|
68% |
1468
28.4 IPS |
