samsung SM-X216B
Geekbench ML Score
155
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 05:55 PM |
| Views | 4 |
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% |
81
8.73 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.90 IPS |
|
|
Image Classification (I8)
|
81% |
182
19.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
172
1.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
184
1.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
335
2.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
71
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
55
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
101
3.55 IPS |
|
|
Object Detection (F16)
|
100% |
102
3.59 IPS |
|
|
Object Detection (I8)
|
52% |
226
7.93 IPS |
|
|
Face Detection (F32)
|
100% |
143
1.64 IPS |
|
|
Face Detection (F16)
|
100% |
147
1.69 IPS |
|
|
Face Detection (I8)
|
75% |
275
3.16 IPS |
|
|
Text Classification (F32)
|
100% |
367
145.3 IPS |
|
|
Text Classification (F16)
|
100% |
394
155.9 IPS |
|
|
Machine Translation (F32)
|
100% |
275
42.4 IPS |
|
|
Machine Translation (F16)
|
100% |
269
41.4 IPS |
