samsung SM-A166P
Geekbench ML Score
156
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2024 09:17 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% |
75
8.08 IPS |
|
|
Image Classification (F16)
|
100% |
79
8.49 IPS |
|
|
Image Classification (I8)
|
81% |
101
10.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
266
1.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
294
1.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
417
2.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
105
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
105
3.69 IPS |
|
|
Object Detection (F16)
|
100% |
107
3.76 IPS |
|
|
Object Detection (I8)
|
52% |
154
5.40 IPS |
|
|
Face Detection (F32)
|
100% |
207
2.38 IPS |
|
|
Face Detection (F16)
|
100% |
276
3.18 IPS |
|
|
Face Detection (I8)
|
75% |
243
2.79 IPS |
|
|
Text Classification (F32)
|
100% |
177
70.1 IPS |
|
|
Text Classification (F16)
|
100% |
180
71.4 IPS |
|
|
Machine Translation (F32)
|
100% |
162
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
183
28.3 IPS |
