samsung SM-A166P
Geekbench ML Score
150
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 01:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
82
8.76 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.58 IPS |
|
|
Image Classification (I8)
|
81% |
103
11.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
235
1.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
239
1.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
385
2.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
118
4.13 IPS |
|
|
Object Detection (F16)
|
100% |
136
4.76 IPS |
|
|
Object Detection (I8)
|
52% |
178
6.26 IPS |
|
|
Face Detection (F32)
|
100% |
208
2.39 IPS |
|
|
Face Detection (F16)
|
100% |
209
2.40 IPS |
|
|
Face Detection (I8)
|
75% |
227
2.60 IPS |
|
|
Text Classification (F32)
|
100% |
201
79.4 IPS |
|
|
Text Classification (F16)
|
100% |
205
81.1 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
160
24.6 IPS |
