samsung SM-X216B
Geekbench ML Score
170
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 06:12 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 | 7.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
86
9.20 IPS |
|
|
Image Classification (F16)
|
100% |
86
9.17 IPS |
|
|
Image Classification (I8)
|
81% |
190
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
201
1.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
1.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
354
2.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
58
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
113
3.98 IPS |
|
|
Object Detection (F16)
|
100% |
110
3.85 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.16 IPS |
|
|
Face Detection (F32)
|
100% |
161
1.85 IPS |
|
|
Face Detection (F16)
|
100% |
155
1.79 IPS |
|
|
Face Detection (I8)
|
75% |
278
3.20 IPS |
|
|
Text Classification (F32)
|
100% |
444
175.8 IPS |
|
|
Text Classification (F16)
|
100% |
445
175.9 IPS |
|
|
Machine Translation (F32)
|
100% |
304
46.8 IPS |
|
|
Machine Translation (F16)
|
100% |
285
44.0 IPS |
