Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
15384
Single Precision Score
20587
Half Precision Score
10381
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | February 13 2025 09:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A6000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v4 |
| Topology | 2 Processors, 40 Cores, 80 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6001
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
7525
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
4175
776.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7207
116.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8556
138.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6184
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
151821
177.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
271425
316.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
114451
134.0 IPS |
|
|
Object Detection (SP)
|
100% |
7331
581.5 IPS |
|
|
Object Detection (HP)
|
100% |
9020
715.5 IPS |
|
|
Object Detection (Q)
|
89% |
5256
420.8 IPS |
|
|
Face Detection (SP)
|
100% |
16494
196.0 IPS |
|
|
Face Detection (HP)
|
100% |
20059
238.3 IPS |
|
|
Face Detection (Q)
|
97% |
12665
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
47601
366.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
74586
574.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
29666
239.1 IPS |
|
|
Style Transfer (SP)
|
100% |
222644
286.2 IPS |
|
|
Style Transfer (HP)
|
100% |
461666
593.5 IPS |
|
|
Style Transfer (Q)
|
98% |
164462
212.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27252
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34792
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16729
619.5 IPS |
|
|
Text Classification (SP)
|
100% |
1719
2.29 KIPS |
|
|
Text Classification (HP)
|
99% |
1973
2.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1073
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1884
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1830
31.5 IPS |
|
|
Machine Translation (Q)
|
60% |
844
18.8 IPS |
