samsung SM-X216B
Geekbench ML Score
238
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 10 2025 05:46 AM |
| 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% |
135
14.5 IPS |
|
|
Image Classification (F16)
|
100% |
135
14.4 IPS |
|
|
Image Classification (I8)
|
81% |
203
21.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
360
2.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
350
2.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
593
3.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
116
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
134
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
190
6.66 IPS |
|
|
Object Detection (F16)
|
100% |
202
7.09 IPS |
|
|
Object Detection (I8)
|
52% |
278
9.76 IPS |
|
|
Face Detection (F32)
|
100% |
293
3.36 IPS |
|
|
Face Detection (F16)
|
100% |
293
3.37 IPS |
|
|
Face Detection (I8)
|
75% |
409
4.70 IPS |
|
|
Text Classification (F32)
|
100% |
287
113.4 IPS |
|
|
Text Classification (F16)
|
100% |
288
113.7 IPS |
|
|
Machine Translation (F32)
|
100% |
304
46.9 IPS |
|
|
Machine Translation (F16)
|
100% |
309
47.6 IPS |
