samsung SM-A166P
Geekbench ML Score
216
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 01 2024 10:19 AM |
| Views | 3 |
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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
98
10.5 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.67 IPS |
|
|
Image Classification (I8)
|
81% |
149
16.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
349
2.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
351
2.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
586
3.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
154
5.40 IPS |
|
|
Object Detection (F16)
|
100% |
157
5.51 IPS |
|
|
Object Detection (I8)
|
52% |
257
9.03 IPS |
|
|
Face Detection (F32)
|
100% |
318
3.66 IPS |
|
|
Face Detection (F16)
|
100% |
318
3.65 IPS |
|
|
Face Detection (I8)
|
75% |
359
4.12 IPS |
|
|
Text Classification (F32)
|
100% |
283
112.0 IPS |
|
|
Text Classification (F16)
|
100% |
288
114.0 IPS |
|
|
Machine Translation (F32)
|
100% |
222
34.1 IPS |
|
|
Machine Translation (F16)
|
100% |
217
33.5 IPS |
