HP ProLiant DL360 G7
Geekbench AI Score
587
Single Precision Score
589
Half Precision Score
1129
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MattyMultiMedia |
| Upload Date | March 30 2025 04:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5649 @ 2.53GHz |
| 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% |
363
67.6 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.6 IPS |
|
|
Image Classification (Q)
|
100% |
754
140.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
928
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
696
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
1788
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
87% |
782
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
2218
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
958
7.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
960
7.39 IPS |
|
|
Depth Estimation (Q)
|
81% |
1983
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1632
2.10 IPS |
|
|
Style Transfer (HP)
|
100% |
1583
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
5343
6.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1060
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
364
486.1 IPS |
|
|
Text Classification (HP)
|
100% |
376
502.5 IPS |
|
|
Text Classification (Q)
|
91% |
314
422.7 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
100% |
443
7.63 IPS |
