HPE ProLiant MicroServer Gen10 Plus
Geekbench ML Score
1161
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 01:09 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | HPE ProLiant MicroServer Gen10 Plus |
| Motherboard | HPE ProLiant MicroServer Gen10 Plus |
| CPU Information | |
|---|---|
| Name | Intel Xeon E-2236 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1173
219.5 IPS |
|
|
Image Classification (F16)
|
100% |
1168
218.5 IPS |
|
|
Image Classification (I8)
|
99% |
586
109.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1091
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1082
18.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
687
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1285
1.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
1286
1.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
1816
2.20 IPS |
|
|
Object Detection (F32)
|
100% |
1178
88.0 IPS |
|
|
Object Detection (F16)
|
100% |
1183
88.3 IPS |
|
|
Object Detection (I8)
|
65% |
739
55.2 IPS |
|
|
Face Detection (F32)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (I8)
|
87% |
1451
17.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1250
9.69 IPS |
|
|
Depth Estimation (F16)
|
100% |
1253
9.71 IPS |
|
|
Depth Estimation (I8)
|
95% |
1641
12.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1334
1.76 IPS |
|
|
Style Transfer (F16)
|
100% |
1336
1.76 IPS |
|
|
Style Transfer (I8)
|
98% |
3208
4.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1161
41.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1160
41.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1085
38.8 IPS |
|
|
Text Classification (F32)
|
100% |
1393
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1411
2.03 KIPS |
|
|
Text Classification (I8)
|
92% |
481
691.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1255
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1248
23.0 IPS |
|
|
Machine Translation (I8)
|
62% |
635
11.7 IPS |
