samsung SM-X216B
Geekbench ML Score
219
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 21 2025 07:08 AM |
| 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 | 3.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
130
14.0 IPS |
|
|
Image Classification (F16)
|
100% |
124
13.3 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
332
2.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
314
1.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
532
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
97
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
112
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
185
6.50 IPS |
|
|
Object Detection (F16)
|
100% |
190
6.67 IPS |
|
|
Object Detection (I8)
|
52% |
242
8.49 IPS |
|
|
Face Detection (F32)
|
100% |
277
3.18 IPS |
|
|
Face Detection (F16)
|
100% |
278
3.19 IPS |
|
|
Face Detection (I8)
|
75% |
340
3.91 IPS |
|
|
Text Classification (F32)
|
100% |
290
114.6 IPS |
|
|
Text Classification (F16)
|
100% |
286
112.9 IPS |
|
|
Machine Translation (F32)
|
100% |
298
45.9 IPS |
|
|
Machine Translation (F16)
|
100% |
306
47.1 IPS |
