samsung SM-A166P
Geekbench ML Score
193
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 21 2025 12:45 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A166P |
| Model ID | samsung SM-A166P |
| Motherboard | a16xm |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
89
9.53 IPS |
|
|
Image Classification (F16)
|
100% |
92
9.81 IPS |
|
|
Image Classification (I8)
|
81% |
111
11.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
336
2.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
339
2.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
410
2.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
120
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
120
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
123
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
148
5.19 IPS |
|
|
Object Detection (F16)
|
100% |
162
5.68 IPS |
|
|
Object Detection (I8)
|
52% |
218
7.66 IPS |
|
|
Face Detection (F32)
|
100% |
272
3.12 IPS |
|
|
Face Detection (F16)
|
100% |
289
3.32 IPS |
|
|
Face Detection (I8)
|
75% |
296
3.40 IPS |
|
|
Text Classification (F32)
|
100% |
264
104.3 IPS |
|
|
Text Classification (F16)
|
100% |
276
109.2 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
206
31.8 IPS |
