samsung SM-X216B
Geekbench ML Score
159
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 27 2025 05:19 AM |
| Views | 3 |
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
10.1 IPS |
|
|
Image Classification (F16)
|
100% |
93
9.99 IPS |
|
|
Image Classification (I8)
|
81% |
108
11.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
235
1.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
231
1.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
350
2.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
86
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
106
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
128
4.49 IPS |
|
|
Object Detection (F16)
|
100% |
128
4.50 IPS |
|
|
Object Detection (I8)
|
52% |
143
5.03 IPS |
|
|
Face Detection (F32)
|
100% |
199
2.29 IPS |
|
|
Face Detection (F16)
|
100% |
200
2.29 IPS |
|
|
Face Detection (I8)
|
75% |
248
2.85 IPS |
|
|
Text Classification (F32)
|
100% |
185
73.1 IPS |
|
|
Text Classification (F16)
|
100% |
150
59.5 IPS |
|
|
Machine Translation (F32)
|
100% |
287
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
279
43.0 IPS |
