HP ProLiant DL380 Gen9
Geekbench AI Score
1177
Single Precision Score
1107
Half Precision Score
840
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ppichler |
| Upload Date | December 10 2024 12:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v4 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | HP ProLiant DL380 Gen9 |
| Motherboard | HP ProLiant DL380 Gen9 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v4 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 157.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1127
209.5 IPS |
|
|
Image Classification (HP)
|
100% |
914
169.9 IPS |
|
|
Image Classification (Q)
|
99% |
588
109.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
505
8.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1276
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1282
1.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
2079
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (HP)
|
100% |
1057
83.8 IPS |
|
|
Object Detection (Q)
|
85% |
1001
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
1121
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1245
9.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
1102
8.49 IPS |
|
|
Depth Estimation (Q)
|
63% |
933
8.75 IPS |
|
|
Style Transfer (SP)
|
100% |
1595
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1661
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2307
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1184
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
1144
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
92% |
355
476.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (Q)
|
58% |
281
6.59 IPS |
