HP ProLiant DL380 Gen9
Geekbench AI Score
3198
Single Precision Score
957
Half Precision Score
3236
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | EldeeGeekBench |
| Upload Date | January 31 2025 05:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | HP ProLiant DL380 Gen9 |
| Motherboard | HP ProLiant DL380 Gen9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v3 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
96% |
3094
577.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
1600
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11785
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4747
5.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
11848
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
58% |
2435
266.0 IPS |
|
|
Face Detection (SP)
|
100% |
6005
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
5819
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8693
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1300
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7817
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19238
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12471
16.0 IPS |
|
|
Style Transfer (Q)
|
87% |
10104
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1698
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
372
496.8 IPS |
|
|
Text Classification (Q)
|
97% |
723
968.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
68% |
1565
30.2 IPS |
