samsung SM-S127DL
Geekbench ML Score
53
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 24 2023 07:57 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S127DL |
| Model ID | samsung SM-S127DL |
| Motherboard | a12u |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CA |
| 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 | 2.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
40
4.31 IPS |
|
|
Image Classification (F16)
|
100% |
41
4.36 IPS |
|
|
Image Classification (I8)
|
81% |
67
7.22 IPS |
|
|
Image Segmentation (F32)
|
100% |
98
0.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
99
0.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
122
0.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
20
0.08 IPS |
|
|
Object Detection (F32)
|
100% |
61
2.14 IPS |
|
|
Object Detection (F16)
|
100% |
62
2.16 IPS |
|
|
Object Detection (I8)
|
52% |
83
2.93 IPS |
|
|
Face Detection (F32)
|
100% |
86
0.99 IPS |
|
|
Face Detection (F16)
|
100% |
91
1.05 IPS |
|
|
Face Detection (I8)
|
75% |
95
1.09 IPS |
|
|
Text Classification (F32)
|
100% |
75
29.6 IPS |
|
|
Text Classification (F16)
|
100% |
75
29.5 IPS |
|
|
Machine Translation (F32)
|
100% |
12
1.88 IPS |
|
|
Machine Translation (F16)
|
100% |
12
1.89 IPS |
