Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
15765
Single Precision Score
21425
Half Precision Score
10497
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | February 13 2025 08:48 PM |
| Views | 2 |
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% |
5180
963.4 IPS |
|
|
Image Classification (HP)
|
99% |
6979
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
3761
699.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8689
140.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10636
172.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7130
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
153421
179.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
281311
328.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
115887
135.7 IPS |
|
|
Object Detection (SP)
|
100% |
7745
614.4 IPS |
|
|
Object Detection (HP)
|
100% |
9284
736.4 IPS |
|
|
Object Detection (Q)
|
89% |
5145
411.9 IPS |
|
|
Face Detection (SP)
|
100% |
17378
206.5 IPS |
|
|
Face Detection (HP)
|
100% |
21568
256.3 IPS |
|
|
Face Detection (Q)
|
97% |
12468
148.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46780
360.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75666
583.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
29242
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
226497
291.2 IPS |
|
|
Style Transfer (HP)
|
100% |
437113
561.9 IPS |
|
|
Style Transfer (Q)
|
98% |
167076
215.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27216
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36126
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16777
621.2 IPS |
|
|
Text Classification (SP)
|
100% |
1549
2.07 KIPS |
|
|
Text Classification (HP)
|
99% |
1779
2.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (Q)
|
60% |
934
20.8 IPS |
