samsung SM-X216B
Geekbench ML Score
241
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 12:24 PM |
| Views | 3 |
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% |
133
14.2 IPS |
|
|
Image Classification (F16)
|
100% |
136
14.6 IPS |
|
|
Image Classification (I8)
|
81% |
206
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
362
2.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
374
2.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
599
3.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
191
6.69 IPS |
|
|
Object Detection (F16)
|
100% |
195
6.83 IPS |
|
|
Object Detection (I8)
|
52% |
280
9.81 IPS |
|
|
Face Detection (F32)
|
100% |
296
3.40 IPS |
|
|
Face Detection (F16)
|
100% |
305
3.50 IPS |
|
|
Face Detection (I8)
|
75% |
404
4.64 IPS |
|
|
Text Classification (F32)
|
100% |
283
111.8 IPS |
|
|
Text Classification (F16)
|
100% |
293
115.8 IPS |
|
|
Machine Translation (F32)
|
100% |
299
46.1 IPS |
|
|
Machine Translation (F16)
|
100% |
294
45.3 IPS |
