samsung SM-X216B
Geekbench ML Score
235
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 05 2025 02:38 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
133
14.3 IPS |
|
|
Image Classification (F16)
|
100% |
136
14.6 IPS |
|
|
Image Classification (I8)
|
81% |
204
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
360
2.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
383
2.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
604
3.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
115
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
134
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
183
6.41 IPS |
|
|
Object Detection (F16)
|
100% |
190
6.66 IPS |
|
|
Object Detection (I8)
|
52% |
270
9.47 IPS |
|
|
Face Detection (F32)
|
100% |
291
3.34 IPS |
|
|
Face Detection (F16)
|
100% |
292
3.36 IPS |
|
|
Face Detection (I8)
|
75% |
407
4.67 IPS |
|
|
Text Classification (F32)
|
100% |
289
114.3 IPS |
|
|
Text Classification (F16)
|
100% |
288
113.8 IPS |
|
|
Machine Translation (F32)
|
100% |
297
45.8 IPS |
|
|
Machine Translation (F16)
|
100% |
297
45.8 IPS |
