samsung SM-A215U
Geekbench ML Score
84
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 03:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | samsung SM-A215U |
| Model ID | samsung SM-A215U |
| Motherboard | S96717AA1 |
| 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 | 2.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
49
5.26 IPS |
|
|
Image Classification (F16)
|
100% |
47
4.98 IPS |
|
|
Image Classification (I8)
|
81% |
169
18.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
122
0.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
116
0.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
410
2.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
59
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
115
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
98
3.44 IPS |
|
|
Object Detection (F16)
|
100% |
91
3.18 IPS |
|
|
Object Detection (I8)
|
52% |
184
6.47 IPS |
|
|
Face Detection (F32)
|
100% |
127
1.46 IPS |
|
|
Face Detection (F16)
|
100% |
125
1.44 IPS |
|
|
Face Detection (I8)
|
75% |
270
3.10 IPS |
|
|
Text Classification (F32)
|
100% |
66
26.3 IPS |
|
|
Text Classification (F16)
|
100% |
66
26.2 IPS |
|
|
Machine Translation (F32)
|
100% |
12
1.82 IPS |
|
|
Machine Translation (F16)
|
100% |
12
1.89 IPS |
