samsung SM-X216B
Geekbench ML Score
164
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 27 2025 01:57 PM |
| Views | 3 |
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% |
94
10.1 IPS |
|
|
Image Classification (F16)
|
100% |
101
10.8 IPS |
|
|
Image Classification (I8)
|
81% |
117
12.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
271
1.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
250
1.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
350
2.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
46
0.19 IPS |
|
|
Object Detection (F32)
|
100% |
132
4.64 IPS |
|
|
Object Detection (F16)
|
100% |
150
5.27 IPS |
|
|
Object Detection (I8)
|
52% |
178
6.24 IPS |
|
|
Face Detection (F32)
|
100% |
221
2.54 IPS |
|
|
Face Detection (F16)
|
100% |
244
2.81 IPS |
|
|
Face Detection (I8)
|
75% |
239
2.74 IPS |
|
|
Text Classification (F32)
|
100% |
245
97.0 IPS |
|
|
Text Classification (F16)
|
100% |
271
107.3 IPS |
|
|
Machine Translation (F32)
|
100% |
271
41.8 IPS |
|
|
Machine Translation (F16)
|
100% |
285
44.0 IPS |
