samsung SM-X216B
Geekbench ML Score
165
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 07:05 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X216B |
| Model ID | samsung SM-X216B |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
96
10.3 IPS |
|
|
Image Classification (F16)
|
100% |
94
10.0 IPS |
|
|
Image Classification (I8)
|
81% |
121
13.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
255
1.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
385
2.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
95
0.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
150
5.28 IPS |
|
|
Object Detection (F16)
|
100% |
132
4.65 IPS |
|
|
Object Detection (I8)
|
52% |
159
5.57 IPS |
|
|
Face Detection (F32)
|
100% |
202
2.32 IPS |
|
|
Face Detection (F16)
|
100% |
208
2.39 IPS |
|
|
Face Detection (I8)
|
75% |
252
2.89 IPS |
|
|
Text Classification (F32)
|
100% |
143
56.6 IPS |
|
|
Text Classification (F16)
|
100% |
141
55.9 IPS |
|
|
Machine Translation (F32)
|
100% |
296
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
296
45.7 IPS |
