Hewlett-Packard HP Z840 Workstation
Geekbench AI Score
20615
Single Precision Score
29570
Half Precision Score
13396
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v4 |
| Topology | 2 Processors, 36 Cores, 72 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 160.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7084
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
10024
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
5177
962.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
14282
231.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18783
304.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10699
174.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
162535
189.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
332366
387.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
125630
147.2 IPS |
|
|
Object Detection (SP)
|
100% |
9436
748.4 IPS |
|
|
Object Detection (HP)
|
100% |
11949
947.8 IPS |
|
|
Object Detection (Q)
|
85% |
6847
550.8 IPS |
|
|
Face Detection (SP)
|
100% |
24720
293.7 IPS |
|
|
Face Detection (HP)
|
100% |
31734
377.1 IPS |
|
|
Face Detection (Q)
|
97% |
18032
215.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
58792
453.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
91921
708.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36112
289.2 IPS |
|
|
Style Transfer (SP)
|
100% |
251254
323.0 IPS |
|
|
Style Transfer (HP)
|
100% |
545243
700.9 IPS |
|
|
Style Transfer (Q)
|
98% |
185615
239.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32358
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42547
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19649
727.6 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2887
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1151
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1429
26.8 IPS |
