samsung SM-S134DL
Geekbench ML Score
72
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 04 2023 09:25 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S134DL |
| Model ID | samsung SM-S134DL |
| Motherboard | a03su |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
41
4.44 IPS |
|
|
Image Classification (F16)
|
100% |
41
4.43 IPS |
|
|
Image Classification (I8)
|
81% |
238
25.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
110
0.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
108
0.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
373
2.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
59
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
42
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
69
0.28 IPS |
|
|
Object Detection (F32)
|
100% |
64
2.23 IPS |
|
|
Object Detection (F16)
|
100% |
64
2.25 IPS |
|
|
Object Detection (I8)
|
52% |
187
6.56 IPS |
|
|
Face Detection (F32)
|
100% |
97
1.12 IPS |
|
|
Face Detection (F16)
|
100% |
93
1.07 IPS |
|
|
Face Detection (I8)
|
75% |
233
2.68 IPS |
|
|
Text Classification (F32)
|
100% |
54
21.2 IPS |
|
|
Text Classification (F16)
|
100% |
54
21.4 IPS |
|
|
Machine Translation (F32)
|
100% |
12
1.90 IPS |
|
|
Machine Translation (F16)
|
100% |
12
1.90 IPS |
