samsung SM-X216B
Geekbench ML Score
163
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 28 2025 10:36 AM |
| Views | 1 |
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% |
97
10.4 IPS |
|
|
Image Classification (F16)
|
100% |
93
9.95 IPS |
|
|
Image Classification (I8)
|
81% |
111
11.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
243
1.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
240
1.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
385
2.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
89
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
90
0.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
102
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
134
4.71 IPS |
|
|
Object Detection (F16)
|
100% |
132
4.62 IPS |
|
|
Object Detection (I8)
|
52% |
159
5.58 IPS |
|
|
Face Detection (F32)
|
100% |
207
2.38 IPS |
|
|
Face Detection (F16)
|
100% |
211
2.43 IPS |
|
|
Face Detection (I8)
|
75% |
268
3.08 IPS |
|
|
Text Classification (F32)
|
100% |
157
62.3 IPS |
|
|
Text Classification (F16)
|
100% |
152
60.0 IPS |
|
|
Machine Translation (F32)
|
100% |
287
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
282
43.5 IPS |
