samsung SM-A346E
Geekbench ML Score
213
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 07:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A346E |
| Model ID | samsung SM-A346E |
| Motherboard | a34x |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
118
12.7 IPS |
|
|
Image Classification (F16)
|
100% |
125
13.4 IPS |
|
|
Image Classification (I8)
|
81% |
207
22.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
337
2.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
286
1.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
659
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
168
0.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
158
0.64 IPS |
|
|
Object Detection (F32)
|
100% |
147
5.15 IPS |
|
|
Object Detection (F16)
|
100% |
131
4.61 IPS |
|
|
Object Detection (I8)
|
52% |
261
9.15 IPS |
|
|
Face Detection (F32)
|
100% |
220
2.53 IPS |
|
|
Face Detection (F16)
|
100% |
220
2.53 IPS |
|
|
Face Detection (I8)
|
75% |
422
4.85 IPS |
|
|
Text Classification (F32)
|
100% |
185
73.2 IPS |
|
|
Text Classification (F16)
|
100% |
186
73.6 IPS |
|
|
Machine Translation (F32)
|
100% |
267
41.2 IPS |
|
|
Machine Translation (F16)
|
100% |
248
38.2 IPS |
