samsung SM-A525F
Geekbench ML Score
233
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 10:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A525F |
| Model ID | samsung SM-A525F |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
160
17.1 IPS |
|
|
Image Classification (F16)
|
100% |
153
16.4 IPS |
|
|
Image Classification (I8)
|
81% |
184
19.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
354
2.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
355
2.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
578
3.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
138
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
225
7.90 IPS |
|
|
Object Detection (F16)
|
100% |
220
7.72 IPS |
|
|
Object Detection (I8)
|
52% |
263
9.23 IPS |
|
|
Face Detection (F32)
|
100% |
322
3.70 IPS |
|
|
Face Detection (F16)
|
100% |
319
3.66 IPS |
|
|
Face Detection (I8)
|
75% |
409
4.70 IPS |
|
|
Text Classification (F32)
|
100% |
231
91.3 IPS |
|
|
Text Classification (F16)
|
100% |
223
88.2 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
197
30.4 IPS |
