HP ProLiant DL380p Gen8
Geekbench AI Score
57
Single Precision Score
56
Half Precision Score
37
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | D3fc0n3-1 |
| Upload Date | April 09 2025 12:09 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2665 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HP ProLiant DL380p Gen8 |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2665 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 141.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
35
6.46 IPS |
|
|
Image Classification (HP)
|
100% |
33
6.16 IPS |
|
|
Image Classification (Q)
|
97% |
26
4.88 IPS |
|
|
Image Segmentation (SP)
|
100% |
48
0.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
49
0.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
29
0.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
58
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
58
0.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
47
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
34
2.67 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.62 IPS |
|
|
Object Detection (Q)
|
87% |
23
1.85 IPS |
|
|
Face Detection (SP)
|
100% |
117
1.39 IPS |
|
|
Face Detection (HP)
|
100% |
105
1.24 IPS |
|
|
Face Detection (Q)
|
97% |
70
0.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
83
0.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
83
0.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
47
0.44 IPS |
|
|
Style Transfer (SP)
|
100% |
163
0.21 IPS |
|
|
Style Transfer (HP)
|
100% |
165
0.21 IPS |
|
|
Style Transfer (Q)
|
98% |
137
0.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38
1.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38
1.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
24
0.91 IPS |
|
|
Text Classification (SP)
|
100% |
40
52.9 IPS |
|
|
Text Classification (HP)
|
100% |
41
54.8 IPS |
|
|
Text Classification (Q)
|
91% |
28
37.0 IPS |
|
|
Machine Translation (SP)
|
100% |
52
0.89 IPS |
|
|
Machine Translation (HP)
|
100% |
51
0.87 IPS |
|
|
Machine Translation (Q)
|
58% |
25
0.60 IPS |
