samsung SM-A525F
Geekbench ML Score
173
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2022 09:18 AM |
| Views | 3 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
57
6.07 IPS |
|
|
Image Classification (F16)
|
100% |
55
5.90 IPS |
|
|
Image Classification (I8)
|
81% |
177
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
1.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
1.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
571
3.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
95
3.32 IPS |
|
|
Object Detection (F16)
|
100% |
94
3.30 IPS |
|
|
Object Detection (I8)
|
52% |
250
8.77 IPS |
|
|
Face Detection (F32)
|
100% |
163
1.87 IPS |
|
|
Face Detection (F16)
|
100% |
160
1.84 IPS |
|
|
Face Detection (I8)
|
75% |
416
4.77 IPS |
|
|
Text Classification (F32)
|
100% |
286
113.0 IPS |
|
|
Text Classification (F16)
|
100% |
293
116.0 IPS |
|
|
Machine Translation (F32)
|
100% |
228
35.2 IPS |
|
|
Machine Translation (F16)
|
100% |
228
35.2 IPS |
