samsung SM-X216B
Geekbench ML Score
161
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 10:08 AM |
| Views | 9 |
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% |
95
10.2 IPS |
|
|
Image Classification (F16)
|
100% |
98
10.5 IPS |
|
|
Image Classification (I8)
|
81% |
110
11.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
232
1.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
255
1.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
358
2.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
132
4.62 IPS |
|
|
Object Detection (F16)
|
100% |
132
4.64 IPS |
|
|
Object Detection (I8)
|
52% |
152
5.33 IPS |
|
|
Face Detection (F32)
|
100% |
210
2.41 IPS |
|
|
Face Detection (F16)
|
100% |
205
2.36 IPS |
|
|
Face Detection (I8)
|
75% |
248
2.85 IPS |
|
|
Text Classification (F32)
|
100% |
131
52.0 IPS |
|
|
Text Classification (F16)
|
100% |
148
58.4 IPS |
|
|
Machine Translation (F32)
|
100% |
291
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
287
44.2 IPS |
