HP ProLiant DL360 G7
Geekbench AI Score
857
Single Precision Score
392
Half Precision Score
941
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MattyMultiMedia |
| Upload Date | March 30 2025 04:13 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5649 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2016 Datacenter Evaluation (64-bit) |
| Model | HP ProLiant DL360 G7 |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5649 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.53 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 56.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
626
116.3 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (Q)
|
96% |
920
171.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
627
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1318
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1150
1.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
1968
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
58% |
619
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
1603
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
405
4.81 IPS |
|
|
Face Detection (Q)
|
96% |
1833
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1742
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
575
4.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
1725
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3066
3.94 IPS |
|
|
Style Transfer (HP)
|
100% |
3346
4.30 IPS |
|
|
Style Transfer (Q)
|
87% |
3127
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
648
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
415
553.8 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.4 IPS |
|
|
Text Classification (Q)
|
97% |
176
235.5 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (Q)
|
68% |
689
13.3 IPS |
