samsung SM-A202K
Geekbench ML Score
92
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 09:59 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-A202K |
| Model ID | samsung SM-A202K |
| Motherboard | exynos7884B |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.35 GHz |
| Cluster 1 | 6 Cores @ 1.35 GHz |
| Cluster 2 | 2 Cores @ 1.56 GHz |
| Memory Information | |
|---|---|
| Size | 2.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
48
5.19 IPS |
|
|
Image Classification (F16)
|
100% |
48
5.13 IPS |
|
|
Image Classification (I8)
|
81% |
89
9.55 IPS |
|
|
Image Segmentation (F32)
|
100% |
136
0.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
121
0.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
297
1.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
84
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
73
2.57 IPS |
|
|
Object Detection (F16)
|
100% |
73
2.55 IPS |
|
|
Object Detection (I8)
|
52% |
133
4.66 IPS |
|
|
Face Detection (F32)
|
100% |
115
1.32 IPS |
|
|
Face Detection (F16)
|
100% |
114
1.31 IPS |
|
|
Face Detection (I8)
|
75% |
187
2.15 IPS |
|
|
Text Classification (F32)
|
100% |
77
30.3 IPS |
|
|
Text Classification (F16)
|
100% |
74
29.4 IPS |
|
|
Machine Translation (F32)
|
100% |
89
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |
