samsung SM-A146U
Geekbench ML Score
349
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 06 2024 06:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A146U |
| Model ID | samsung SM-A146U |
| Motherboard | a14xm |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/NZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
229
42.8 IPS |
|
|
Image Classification (F16)
|
100% |
185
34.6 IPS |
|
|
Image Classification (I8)
|
97% |
388
72.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
256
4.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
244
4.08 IPS |
|
|
Image Segmentation (I8)
|
98% |
420
7.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
322
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
269
0.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
1098
1.33 IPS |
|
|
Object Detection (F32)
|
100% |
120
8.98 IPS |
|
|
Object Detection (F16)
|
100% |
159
11.9 IPS |
|
|
Object Detection (I8)
|
61% |
486
36.3 IPS |
|
|
Face Detection (F32)
|
100% |
375
4.45 IPS |
|
|
Face Detection (F16)
|
100% |
330
3.93 IPS |
|
|
Face Detection (I8)
|
86% |
827
9.83 IPS |
|
|
Depth Estimation (F32)
|
100% |
362
2.81 IPS |
|
|
Depth Estimation (F16)
|
100% |
296
2.30 IPS |
|
|
Depth Estimation (I8)
|
95% |
773
5.99 IPS |
|
|
Style Transfer (F32)
|
100% |
429
0.56 IPS |
|
|
Style Transfer (F16)
|
100% |
468
0.62 IPS |
|
|
Style Transfer (I8)
|
98% |
1303
1.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
181
6.48 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
184
6.57 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
652
23.3 IPS |
|
|
Text Classification (F32)
|
100% |
311
446.7 IPS |
|
|
Text Classification (F16)
|
100% |
301
433.3 IPS |
|
|
Text Classification (I8)
|
92% |
251
361.2 IPS |
|
|
Machine Translation (F32)
|
100% |
352
6.48 IPS |
|
|
Machine Translation (F16)
|
100% |
377
6.93 IPS |
|
|
Machine Translation (I8)
|
64% |
356
6.56 IPS |
