HP ProLiant DL380 Gen9
Geekbench AI Score
992
Single Precision Score
270
Half Precision Score
1044
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rdevrede |
| Upload Date | August 15 2024 09:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2620 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | HP ProLiant DL380 Gen9 |
| Motherboard | HP ProLiant DL380 Gen9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 v3 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
53
9.87 IPS |
|
|
Image Classification (Q)
|
97% |
840
156.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
95
1.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
663
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1679
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1378
1.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
2588
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.36 IPS |
|
|
Object Detection (Q)
|
86% |
572
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
122
1.45 IPS |
|
|
Face Detection (Q)
|
96% |
1421
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1876
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
329
2.54 IPS |
|
|
Depth Estimation (Q)
|
76% |
1976
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4111
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3221
4.14 IPS |
|
|
Style Transfer (Q)
|
87% |
4969
6.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.9 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.7 IPS |
|
|
Text Classification (Q)
|
97% |
210
281.8 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (Q)
|
60% |
695
15.5 IPS |
