samsung SM-X216B
Geekbench ML Score
171
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 21 2025 05:19 PM |
| Views | 1 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
91
9.78 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.61 IPS |
|
|
Image Classification (I8)
|
81% |
190
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
209
1.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
1.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
353
2.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
58
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
104
3.67 IPS |
|
|
Object Detection (F16)
|
100% |
115
4.03 IPS |
|
|
Object Detection (I8)
|
52% |
229
8.04 IPS |
|
|
Face Detection (F32)
|
100% |
164
1.89 IPS |
|
|
Face Detection (F16)
|
100% |
168
1.93 IPS |
|
|
Face Detection (I8)
|
75% |
280
3.21 IPS |
|
|
Text Classification (F32)
|
100% |
450
177.8 IPS |
|
|
Text Classification (F16)
|
100% |
442
174.6 IPS |
|
|
Machine Translation (F32)
|
100% |
281
43.2 IPS |
|
|
Machine Translation (F16)
|
100% |
275
42.4 IPS |
