samsung SM-A546E
Geekbench ML Score
404
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 01:09 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% |
123
22.9 IPS |
|
|
Image Classification (F16)
|
100% |
62
11.6 IPS |
|
|
Image Classification (I8)
|
97% |
469
87.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
236
3.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
246
4.12 IPS |
|
|
Image Segmentation (I8)
|
98% |
377
6.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
502
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
485
0.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
2868
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
314
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
319
23.8 IPS |
|
|
Object Detection (I8)
|
61% |
862
64.3 IPS |
|
|
Face Detection (F32)
|
100% |
353
4.20 IPS |
|
|
Face Detection (F16)
|
100% |
372
4.42 IPS |
|
|
Face Detection (I8)
|
86% |
755
8.98 IPS |
|
|
Depth Estimation (F32)
|
100% |
551
4.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
490
3.80 IPS |
|
|
Depth Estimation (I8)
|
95% |
819
6.35 IPS |
|
|
Style Transfer (F32)
|
100% |
898
1.18 IPS |
|
|
Style Transfer (F16)
|
100% |
878
1.15 IPS |
|
|
Style Transfer (I8)
|
98% |
2293
3.02 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
311
11.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
399
14.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1088
38.8 IPS |
|
|
Text Classification (F32)
|
100% |
450
646.2 IPS |
|
|
Text Classification (F16)
|
100% |
360
517.9 IPS |
|
|
Text Classification (I8)
|
92% |
303
434.8 IPS |
|
|
Machine Translation (F32)
|
100% |
129
2.37 IPS |
|
|
Machine Translation (F16)
|
100% |
110
2.02 IPS |
|
|
Machine Translation (I8)
|
64% |
92
1.70 IPS |
