samsung SM-A166P
Geekbench ML Score
208
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 03:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
104
11.1 IPS |
|
|
Image Classification (F16)
|
100% |
86
9.21 IPS |
|
|
Image Classification (I8)
|
81% |
132
14.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
351
2.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
348
2.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
527
3.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
135
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
135
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
145
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
153
5.37 IPS |
|
|
Object Detection (F16)
|
100% |
158
5.53 IPS |
|
|
Object Detection (I8)
|
52% |
219
7.70 IPS |
|
|
Face Detection (F32)
|
100% |
306
3.52 IPS |
|
|
Face Detection (F16)
|
100% |
306
3.52 IPS |
|
|
Face Detection (I8)
|
75% |
331
3.80 IPS |
|
|
Text Classification (F32)
|
100% |
277
109.7 IPS |
|
|
Text Classification (F16)
|
100% |
274
108.2 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
218
33.6 IPS |
