samsung SM-A166P
Geekbench ML Score
149
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 09:57 PM |
| Views | 4 |
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% |
62
6.66 IPS |
|
|
Image Classification (F16)
|
100% |
75
8.07 IPS |
|
|
Image Classification (I8)
|
81% |
108
11.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
237
1.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
232
1.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
427
2.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
60
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.32 IPS |
|
|
Object Detection (F16)
|
100% |
125
4.38 IPS |
|
|
Object Detection (I8)
|
52% |
179
6.29 IPS |
|
|
Face Detection (F32)
|
100% |
232
2.67 IPS |
|
|
Face Detection (F16)
|
100% |
167
1.92 IPS |
|
|
Face Detection (I8)
|
75% |
239
2.75 IPS |
|
|
Text Classification (F32)
|
100% |
207
81.7 IPS |
|
|
Text Classification (F16)
|
100% |
224
88.5 IPS |
|
|
Machine Translation (F32)
|
100% |
189
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
189
29.1 IPS |
