Hewlett-Packard HP Z620 Workstation
Geekbench AI Score
941
Single Precision Score
481
Half Precision Score
706
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 20 2024 11:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2640 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z620 Workstation |
| Motherboard | Hewlett-Packard 158A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2640 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
96% |
567
106.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
525
8.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
1619
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1206
1.41 IPS |
|
|
Pose Estimation (Q)
|
87% |
1459
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
90% |
468
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
554
6.58 IPS |
|
|
Face Detection (Q)
|
96% |
1093
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1883
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
700
5.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
1042
8.32 IPS |
|
|
Style Transfer (SP)
|
100% |
3813
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3138
4.03 IPS |
|
|
Style Transfer (Q)
|
87% |
3059
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
671
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
577
769.9 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.4 IPS |
|
|
Text Classification (Q)
|
97% |
196
263.0 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (Q)
|
60% |
331
7.37 IPS |
