samsung SM-A525F
Geekbench ML Score
313
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2022 08:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
321
34.4 IPS |
|
|
Image Classification (F16)
|
100% |
454
48.6 IPS |
|
|
Image Classification (I8)
|
80% |
912
97.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
402
2.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
540
3.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
2277
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
330
1.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
1110
4.49 IPS |
|
|
Object Detection (F32)
|
100% |
284
9.98 IPS |
|
|
Object Detection (F16)
|
100% |
247
8.68 IPS |
|
|
Object Detection (I8)
|
52% |
461
16.2 IPS |
|
|
Face Detection (F32)
|
100% |
353
4.05 IPS |
|
|
Face Detection (F16)
|
97% |
417
4.80 IPS |
|
|
Face Detection (I8)
|
75% |
1483
17.0 IPS |
|
|
Text Classification (F32)
|
54% |
15
6.03 IPS |
|
|
Text Classification (F16)
|
54% |
14
5.55 IPS |
|
|
Machine Translation (F32)
|
100% |
230
35.4 IPS |
|
|
Machine Translation (F16)
|
100% |
229
35.2 IPS |
