samsung SM-X216B
Geekbench ML Score
240
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 09 2025 01:36 PM |
| 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 | 7.18 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
136
14.6 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.3 IPS |
|
|
Image Classification (I8)
|
81% |
202
21.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
362
2.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
596
3.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
125
0.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
136
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
194
6.80 IPS |
|
|
Object Detection (F16)
|
100% |
193
6.78 IPS |
|
|
Object Detection (I8)
|
52% |
274
9.60 IPS |
|
|
Face Detection (F32)
|
100% |
314
3.60 IPS |
|
|
Face Detection (F16)
|
100% |
296
3.40 IPS |
|
|
Face Detection (I8)
|
75% |
401
4.61 IPS |
|
|
Text Classification (F32)
|
100% |
285
112.9 IPS |
|
|
Text Classification (F16)
|
100% |
288
113.8 IPS |
|
|
Machine Translation (F32)
|
100% |
300
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
305
47.0 IPS |
