samsung SM-X216B
Geekbench ML Score
217
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 14 2025 08:31 AM |
| Views | 11 |
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% |
114
12.3 IPS |
|
|
Image Classification (F16)
|
100% |
126
13.5 IPS |
|
|
Image Classification (I8)
|
81% |
200
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
339
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
339
2.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
562
3.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
107
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
180
6.31 IPS |
|
|
Object Detection (F16)
|
100% |
181
6.34 IPS |
|
|
Object Detection (I8)
|
52% |
245
8.60 IPS |
|
|
Face Detection (F32)
|
100% |
272
3.13 IPS |
|
|
Face Detection (F16)
|
100% |
277
3.18 IPS |
|
|
Face Detection (I8)
|
75% |
231
2.65 IPS |
|
|
Text Classification (F32)
|
100% |
242
95.6 IPS |
|
|
Text Classification (F16)
|
100% |
292
115.3 IPS |
|
|
Machine Translation (F32)
|
100% |
305
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
298
45.9 IPS |
