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 24 2025 06:21 PM |
| Views | 9 |
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% |
86
9.20 IPS |
|
|
Image Classification (F16)
|
100% |
84
8.95 IPS |
|
|
Image Classification (I8)
|
81% |
194
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
201
1.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
219
1.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
354
2.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
75
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
58
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
108
3.81 IPS |
|
|
Object Detection (F16)
|
100% |
106
3.72 IPS |
|
|
Object Detection (I8)
|
52% |
227
7.98 IPS |
|
|
Face Detection (F32)
|
100% |
165
1.90 IPS |
|
|
Face Detection (F16)
|
100% |
161
1.85 IPS |
|
|
Face Detection (I8)
|
75% |
278
3.19 IPS |
|
|
Text Classification (F32)
|
100% |
464
183.6 IPS |
|
|
Text Classification (F16)
|
100% |
441
174.4 IPS |
|
|
Machine Translation (F32)
|
100% |
280
43.2 IPS |
|
|
Machine Translation (F16)
|
100% |
287
44.3 IPS |
