samsung SM-X216B
Geekbench ML Score
208
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 06:58 PM |
| Views | 13 |
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% |
141
15.1 IPS |
|
|
Image Classification (F16)
|
100% |
131
14.1 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
285
1.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
284
1.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
370
2.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
86
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
60
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
166
5.81 IPS |
|
|
Object Detection (F16)
|
100% |
164
5.75 IPS |
|
|
Object Detection (I8)
|
52% |
245
8.59 IPS |
|
|
Face Detection (F32)
|
100% |
250
2.88 IPS |
|
|
Face Detection (F16)
|
100% |
241
2.77 IPS |
|
|
Face Detection (I8)
|
75% |
280
3.22 IPS |
|
|
Text Classification (F32)
|
100% |
458
181.2 IPS |
|
|
Text Classification (F16)
|
100% |
470
185.7 IPS |
|
|
Machine Translation (F32)
|
100% |
329
50.6 IPS |
|
|
Machine Translation (F16)
|
100% |
305
47.1 IPS |
