HP ProLiant DL380p Gen8
Geekbench AI Score
112
Single Precision Score
111
Half Precision Score
75
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | sudutmata |
| Upload Date | November 22 2025 01:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | HP ProLiant DL380p Gen8 |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
68
12.7 IPS |
|
|
Image Classification (HP)
|
100% |
68
12.6 IPS |
|
|
Image Classification (Q)
|
97% |
53
9.81 IPS |
|
|
Image Segmentation (SP)
|
100% |
94
1.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
94
1.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
60
0.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
112
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
113
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
96
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.42 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.42 IPS |
|
|
Object Detection (Q)
|
87% |
46
3.71 IPS |
|
|
Face Detection (SP)
|
100% |
196
2.33 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
97% |
142
1.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
155
1.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
155
1.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
93
0.85 IPS |
|
|
Style Transfer (SP)
|
100% |
296
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
295
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
276
0.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75
2.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
75
2.76 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
50
1.85 IPS |
|
|
Text Classification (SP)
|
100% |
77
102.1 IPS |
|
|
Text Classification (HP)
|
100% |
76
102.1 IPS |
|
|
Text Classification (Q)
|
91% |
47
63.6 IPS |
|
|
Machine Translation (SP)
|
100% |
129
2.22 IPS |
|
|
Machine Translation (HP)
|
100% |
123
2.12 IPS |
|
|
Machine Translation (Q)
|
58% |
51
1.22 IPS |
