samsung SM-X216B
Geekbench ML Score
175
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 12:38 PM |
| Views | 5 |
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% |
82
8.78 IPS |
|
|
Image Classification (F16)
|
100% |
83
8.88 IPS |
|
|
Image Classification (I8)
|
81% |
199
21.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
193
1.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
216
1.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
378
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
88
0.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
60
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
111
3.91 IPS |
|
|
Object Detection (F16)
|
100% |
107
3.74 IPS |
|
|
Object Detection (I8)
|
52% |
244
8.56 IPS |
|
|
Face Detection (F32)
|
100% |
162
1.86 IPS |
|
|
Face Detection (F16)
|
100% |
160
1.83 IPS |
|
|
Face Detection (I8)
|
75% |
294
3.38 IPS |
|
|
Text Classification (F32)
|
100% |
468
184.9 IPS |
|
|
Text Classification (F16)
|
100% |
469
185.4 IPS |
|
|
Machine Translation (F32)
|
100% |
289
44.6 IPS |
|
|
Machine Translation (F16)
|
100% |
289
44.5 IPS |
