Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
3231
Single Precision Score
3145
Half Precision Score
2239
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 06 2025 08:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M4000 |
| 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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (Q)
|
99% |
1078
201.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1485
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11646
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10958
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10107
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (HP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (Q)
|
83% |
1301
105.1 IPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
2248
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6345
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6143
47.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
4706
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20223
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18446
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16947
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4602
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3175
117.6 IPS |
|
|
Text Classification (SP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
443
593.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1357
23.5 IPS |
|
|
Machine Translation (Q)
|
70% |
597
11.2 IPS |
