samsung SM-A166P
Geekbench ML Score
169
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2024 06:49 PM |
| 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
79
8.43 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.57 IPS |
|
|
Image Classification (I8)
|
81% |
101
10.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
271
1.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
269
1.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
437
2.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
120
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
128
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
127
4.45 IPS |
|
|
Object Detection (F16)
|
100% |
126
4.42 IPS |
|
|
Object Detection (I8)
|
52% |
178
6.26 IPS |
|
|
Face Detection (F32)
|
100% |
215
2.47 IPS |
|
|
Face Detection (F16)
|
100% |
218
2.51 IPS |
|
|
Face Detection (I8)
|
75% |
257
2.95 IPS |
|
|
Text Classification (F32)
|
100% |
234
92.6 IPS |
|
|
Text Classification (F16)
|
100% |
184
72.9 IPS |
|
|
Machine Translation (F32)
|
100% |
212
32.7 IPS |
|
|
Machine Translation (F16)
|
100% |
198
30.6 IPS |
