HP ProLiant DL380 Gen9
Geekbench AI Score
1117
Single Precision Score
1146
Half Precision Score
782
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ppichler |
| Upload Date | December 10 2024 11:54 AM |
| 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% |
1134
210.9 IPS |
|
|
Image Classification (HP)
|
100% |
1110
206.5 IPS |
|
|
Image Classification (Q)
|
99% |
584
108.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
347
5.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
1274
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1267
1.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2154
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.2 IPS |
|
|
Object Detection (Q)
|
85% |
844
67.9 IPS |
|
|
Face Detection (SP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
1051
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1218
9.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.46 IPS |
|
|
Depth Estimation (Q)
|
63% |
937
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1639
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1565
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2206
2.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1189
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.2 IPS |
|
|
Text Classification (HP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
92% |
337
452.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
58% |
268
6.28 IPS |
