[2023] Phone: Samsung Galaxy A34 G5 [SM-A346B] samsung SM-A346B
Geekbench ML Score
219
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | November 24 2023 07:27 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A346B |
| Model ID | samsung SM-A346B |
| 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% |
88
9.40 IPS |
|
|
Image Classification (F16)
|
100% |
81
8.68 IPS |
|
|
Image Classification (I8)
|
81% |
207
22.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
269
1.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
267
1.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
672
4.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
192
0.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
190
0.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
181
0.73 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.32 IPS |
|
|
Object Detection (F16)
|
100% |
122
4.27 IPS |
|
|
Object Detection (I8)
|
52% |
268
9.41 IPS |
|
|
Face Detection (F32)
|
100% |
216
2.48 IPS |
|
|
Face Detection (F16)
|
100% |
224
2.58 IPS |
|
|
Face Detection (I8)
|
75% |
449
5.16 IPS |
|
|
Text Classification (F32)
|
100% |
209
82.7 IPS |
|
|
Text Classification (F16)
|
100% |
187
73.9 IPS |
|
|
Machine Translation (F32)
|
100% |
446
68.7 IPS |
|
|
Machine Translation (F16)
|
100% |
444
68.5 IPS |
