samsung SM-X216B
Geekbench ML Score
156
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 04:41 AM |
| 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% |
94
10.0 IPS |
|
|
Image Classification (F16)
|
100% |
92
9.83 IPS |
|
|
Image Classification (I8)
|
81% |
103
11.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
246
1.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
230
1.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
361
2.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
95
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
95
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
131
4.59 IPS |
|
|
Object Detection (F16)
|
100% |
126
4.44 IPS |
|
|
Object Detection (I8)
|
52% |
149
5.24 IPS |
|
|
Face Detection (F32)
|
100% |
206
2.37 IPS |
|
|
Face Detection (F16)
|
100% |
196
2.26 IPS |
|
|
Face Detection (I8)
|
75% |
233
2.68 IPS |
|
|
Text Classification (F32)
|
100% |
131
51.8 IPS |
|
|
Text Classification (F16)
|
100% |
127
50.2 IPS |
|
|
Machine Translation (F32)
|
100% |
296
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
291
44.9 IPS |
