samsung SM-A217M
Geekbench ML Score
112
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 12:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A217M |
| Model ID | samsung SM-A217M |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
60
6.42 IPS |
|
|
Image Classification (F16)
|
100% |
61
6.55 IPS |
|
|
Image Classification (I8)
|
81% |
334
35.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
141
0.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
0.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
577
3.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
137
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
102
3.59 IPS |
|
|
Object Detection (F16)
|
100% |
103
3.60 IPS |
|
|
Object Detection (I8)
|
52% |
256
8.99 IPS |
|
|
Face Detection (F32)
|
100% |
159
1.83 IPS |
|
|
Face Detection (F16)
|
100% |
159
1.83 IPS |
|
|
Face Detection (I8)
|
75% |
493
5.67 IPS |
|
|
Text Classification (F32)
|
100% |
72
28.4 IPS |
|
|
Text Classification (F16)
|
100% |
76
30.0 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.94 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.92 IPS |
