samsung SM-X216B
Geekbench ML Score
164
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 05:59 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 | 7.18 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
96
10.3 IPS |
|
|
Image Classification (F16)
|
100% |
96
10.3 IPS |
|
|
Image Classification (I8)
|
81% |
114
12.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
243
1.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
242
1.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
361
2.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
139
4.89 IPS |
|
|
Object Detection (F16)
|
100% |
133
4.66 IPS |
|
|
Object Detection (I8)
|
52% |
162
5.68 IPS |
|
|
Face Detection (F32)
|
100% |
208
2.39 IPS |
|
|
Face Detection (F16)
|
100% |
209
2.40 IPS |
|
|
Face Detection (I8)
|
75% |
266
3.05 IPS |
|
|
Text Classification (F32)
|
100% |
156
61.5 IPS |
|
|
Text Classification (F16)
|
100% |
151
59.8 IPS |
|
|
Machine Translation (F32)
|
100% |
277
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
285
43.9 IPS |
