Samsung Galaxy M51
Geekbench ML Score
224
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2022 08:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy M51 |
| Model ID | samsung SM-M515F |
| Motherboard | sm6150 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.40 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
152
16.3 IPS |
|
|
Image Classification (F16)
|
100% |
155
16.6 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
341
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
351
2.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
574
3.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
143
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
138
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
140
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
193
6.76 IPS |
|
|
Object Detection (F16)
|
100% |
167
5.87 IPS |
|
|
Object Detection (I8)
|
52% |
240
8.42 IPS |
|
|
Face Detection (F32)
|
100% |
304
3.50 IPS |
|
|
Face Detection (F16)
|
100% |
299
3.44 IPS |
|
|
Face Detection (I8)
|
75% |
454
5.22 IPS |
|
|
Text Classification (F32)
|
100% |
210
83.1 IPS |
|
|
Text Classification (F16)
|
100% |
214
84.8 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.3 IPS |
