samsung SM-X216B
Geekbench ML Score
223
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 14 2025 01:20 PM |
| Views | 8 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
143
15.3 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.3 IPS |
|
|
Image Classification (I8)
|
81% |
199
21.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
359
2.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
334
2.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
378
2.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
110
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
60
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
176
6.18 IPS |
|
|
Object Detection (F16)
|
100% |
174
6.11 IPS |
|
|
Object Detection (I8)
|
52% |
245
8.60 IPS |
|
|
Face Detection (F32)
|
100% |
274
3.15 IPS |
|
|
Face Detection (F16)
|
100% |
264
3.03 IPS |
|
|
Face Detection (I8)
|
75% |
295
3.39 IPS |
|
|
Text Classification (F32)
|
100% |
471
186.4 IPS |
|
|
Text Classification (F16)
|
100% |
474
187.5 IPS |
|
|
Machine Translation (F32)
|
100% |
341
52.5 IPS |
|
|
Machine Translation (F16)
|
100% |
314
48.4 IPS |
