samsung SM-A546E
Geekbench ML Score
230
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 13 2024 04:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A546E |
| Model ID | samsung SM-A546E |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
145
27.1 IPS |
|
|
Image Classification (F16)
|
100% |
137
25.7 IPS |
|
|
Image Classification (I8)
|
97% |
176
33.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
275
4.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (I8)
|
98% |
234
3.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
372
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
368
0.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
1559
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
86
6.41 IPS |
|
|
Object Detection (F16)
|
100% |
90
6.69 IPS |
|
|
Object Detection (I8)
|
61% |
129
9.64 IPS |
|
|
Face Detection (F32)
|
100% |
243
2.89 IPS |
|
|
Face Detection (F16)
|
100% |
235
2.80 IPS |
|
|
Face Detection (I8)
|
86% |
300
3.56 IPS |
|
|
Depth Estimation (F32)
|
100% |
249
1.93 IPS |
|
|
Depth Estimation (F16)
|
100% |
223
1.73 IPS |
|
|
Depth Estimation (I8)
|
95% |
440
3.41 IPS |
|
|
Style Transfer (F32)
|
100% |
665
0.87 IPS |
|
|
Style Transfer (F16)
|
100% |
678
0.89 IPS |
|
|
Style Transfer (I8)
|
98% |
1399
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
119
4.24 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
145
5.16 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
295
10.5 IPS |
|
|
Text Classification (F32)
|
100% |
208
299.6 IPS |
|
|
Text Classification (F16)
|
100% |
291
418.5 IPS |
|
|
Text Classification (I8)
|
92% |
297
426.8 IPS |
|
|
Machine Translation (F32)
|
100% |
95
1.75 IPS |
|
|
Machine Translation (F16)
|
100% |
66
1.22 IPS |
|
|
Machine Translation (I8)
|
64% |
52
0.96 IPS |
