samsung SM-X216B
Geekbench ML Score
224
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 13 2025 11:42 AM |
| Views | 6 |
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% |
130
13.9 IPS |
|
|
Image Classification (F16)
|
100% |
130
13.9 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
343
2.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
355
2.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
589
3.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
105
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
185
6.50 IPS |
|
|
Object Detection (F16)
|
100% |
178
6.26 IPS |
|
|
Object Detection (I8)
|
52% |
264
9.25 IPS |
|
|
Face Detection (F32)
|
100% |
285
3.28 IPS |
|
|
Face Detection (F16)
|
100% |
287
3.30 IPS |
|
|
Face Detection (I8)
|
75% |
399
4.58 IPS |
|
|
Text Classification (F32)
|
100% |
282
111.6 IPS |
|
|
Text Classification (F16)
|
100% |
284
112.1 IPS |
|
|
Machine Translation (F32)
|
100% |
302
46.5 IPS |
|
|
Machine Translation (F16)
|
100% |
308
47.5 IPS |
