samsung SM-X216B
Geekbench ML Score
175
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 06:08 PM |
| Views | 10 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
88
9.45 IPS |
|
|
Image Classification (F16)
|
100% |
86
9.24 IPS |
|
|
Image Classification (I8)
|
81% |
198
21.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
207
1.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
1.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
375
2.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
83
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
60
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
127
4.47 IPS |
|
|
Object Detection (F16)
|
100% |
110
3.87 IPS |
|
|
Object Detection (I8)
|
52% |
240
8.42 IPS |
|
|
Face Detection (F32)
|
100% |
170
1.96 IPS |
|
|
Face Detection (F16)
|
100% |
164
1.88 IPS |
|
|
Face Detection (I8)
|
75% |
289
3.32 IPS |
|
|
Text Classification (F32)
|
100% |
470
185.8 IPS |
|
|
Text Classification (F16)
|
100% |
468
185.2 IPS |
|
|
Machine Translation (F32)
|
100% |
284
43.8 IPS |
|
|
Machine Translation (F16)
|
100% |
284
43.8 IPS |
