samsung SM-S215DL
Geekbench ML Score
82
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S215DL |
| Model ID | samsung SM-S215DL |
| Motherboard | a21 |
| 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 | 2.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
43
4.58 IPS |
|
|
Image Classification (F16)
|
100% |
47
5.03 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
110
0.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
112
0.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
360
2.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
61
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
58
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
105
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
72
2.52 IPS |
|
|
Object Detection (F16)
|
100% |
86
3.01 IPS |
|
|
Object Detection (I8)
|
52% |
234
8.21 IPS |
|
|
Face Detection (F32)
|
100% |
108
1.24 IPS |
|
|
Face Detection (F16)
|
100% |
102
1.17 IPS |
|
|
Face Detection (I8)
|
75% |
321
3.69 IPS |
|
|
Text Classification (F32)
|
100% |
67
26.5 IPS |
|
|
Text Classification (F16)
|
100% |
73
29.1 IPS |
|
|
Machine Translation (F32)
|
100% |
13
1.94 IPS |
|
|
Machine Translation (F16)
|
100% |
12
1.78 IPS |
