samsung SM-X216B
Geekbench ML Score
240
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 02:04 PM |
| Views | 2 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
137
14.7 IPS |
|
|
Image Classification (F16)
|
100% |
138
14.8 IPS |
|
|
Image Classification (I8)
|
81% |
205
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
365
2.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
604
3.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
136
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
195
6.86 IPS |
|
|
Object Detection (F16)
|
100% |
188
6.59 IPS |
|
|
Object Detection (I8)
|
52% |
280
9.83 IPS |
|
|
Face Detection (F32)
|
100% |
300
3.45 IPS |
|
|
Face Detection (F16)
|
100% |
299
3.43 IPS |
|
|
Face Detection (I8)
|
75% |
409
4.70 IPS |
|
|
Text Classification (F32)
|
100% |
291
115.0 IPS |
|
|
Text Classification (F16)
|
100% |
287
113.6 IPS |
|
|
Machine Translation (F32)
|
100% |
302
46.6 IPS |
|
|
Machine Translation (F16)
|
100% |
301
46.5 IPS |
