samsung SM-A166P
Geekbench ML Score
149
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2024 06:25 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
70
7.48 IPS |
|
|
Image Classification (F16)
|
100% |
70
7.54 IPS |
|
|
Image Classification (I8)
|
81% |
85
9.13 IPS |
|
|
Image Segmentation (F32)
|
100% |
243
1.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
244
1.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
374
2.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
114
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
114
4.01 IPS |
|
|
Object Detection (F16)
|
100% |
114
3.98 IPS |
|
|
Object Detection (I8)
|
52% |
156
5.48 IPS |
|
|
Face Detection (F32)
|
100% |
201
2.30 IPS |
|
|
Face Detection (F16)
|
100% |
198
2.27 IPS |
|
|
Face Detection (I8)
|
75% |
219
2.52 IPS |
|
|
Text Classification (F32)
|
100% |
190
75.0 IPS |
|
|
Text Classification (F16)
|
100% |
183
72.2 IPS |
|
|
Machine Translation (F32)
|
100% |
162
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
167
25.7 IPS |
