HPE ProLiant DL380 Gen10
Geekbench AI Score
1449
Single Precision Score
1469
Half Precision Score
1176
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 13 2025 05:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon Gold 6142 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | HPE ProLiant DL380 Gen10 |
| Motherboard | HPE ProLiant DL380 Gen10 |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6142 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 503.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1078
200.4 IPS |
|
|
Image Classification (HP)
|
100% |
1092
203.1 IPS |
|
|
Image Classification (Q)
|
99% |
737
137.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
774
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1990
2.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
4112
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (Q)
|
85% |
1005
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
1768
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1655
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1592
12.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1612
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1840
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2008
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4373
5.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1245
46.1 IPS |
|
|
Text Classification (SP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
409
549.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
58% |
339
7.96 IPS |
