samsung SM-A546E
Geekbench ML Score
292
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 11 2024 07:13 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% |
142
26.5 IPS |
|
|
Image Classification (F16)
|
100% |
186
34.8 IPS |
|
|
Image Classification (I8)
|
97% |
204
38.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
208
3.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
222
3.70 IPS |
|
|
Image Segmentation (I8)
|
98% |
296
4.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
425
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
421
0.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
2288
2.77 IPS |
|
|
Object Detection (F32)
|
100% |
155
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
86
6.44 IPS |
|
|
Object Detection (I8)
|
61% |
186
13.9 IPS |
|
|
Face Detection (F32)
|
100% |
293
3.49 IPS |
|
|
Face Detection (F16)
|
100% |
297
3.53 IPS |
|
|
Face Detection (I8)
|
86% |
440
5.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
298
2.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
353
2.74 IPS |
|
|
Depth Estimation (I8)
|
95% |
434
3.37 IPS |
|
|
Style Transfer (F32)
|
100% |
752
0.99 IPS |
|
|
Style Transfer (F16)
|
100% |
679
0.89 IPS |
|
|
Style Transfer (I8)
|
98% |
1597
2.10 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
141
5.03 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
138
4.93 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
232
8.30 IPS |
|
|
Text Classification (F32)
|
100% |
272
390.6 IPS |
|
|
Text Classification (F16)
|
100% |
227
326.9 IPS |
|
|
Text Classification (I8)
|
92% |
306
439.3 IPS |
|
|
Machine Translation (F32)
|
100% |
317
5.83 IPS |
|
|
Machine Translation (F16)
|
100% |
333
6.13 IPS |
|
|
Machine Translation (I8)
|
64% |
101
1.86 IPS |
