HPE ProLiant ML350 Gen11
Geekbench AI Score
8194
Single Precision Score
5712
Half Precision Score
22170
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 17 2025 07:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Gold 5416S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Standard (64-bit) |
| Model | HPE ProLiant ML350 Gen11 |
| Motherboard | HPE ProLiant ML350 Gen11 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 5416S |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4538
843.9 IPS |
|
|
Image Classification (HP)
|
100% |
4181
777.5 IPS |
|
|
Image Classification (Q)
|
100% |
9995
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7141
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2816
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20126
326.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14591
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9112
10.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
147820
173.1 IPS |
|
|
Object Detection (SP)
|
100% |
4665
370.1 IPS |
|
|
Object Detection (HP)
|
100% |
4291
340.3 IPS |
|
|
Object Detection (Q)
|
88% |
10231
820.2 IPS |
|
|
Face Detection (SP)
|
100% |
15180
180.4 IPS |
|
|
Face Detection (HP)
|
100% |
10774
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
28058
333.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13368
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11184
86.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
37350
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
40486
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23790
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
335165
432.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7583
280.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5084
187.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21820
808.1 IPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2702
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4555
78.5 IPS |
