samsung SM-A166P
Geekbench ML Score
116
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 03:12 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
64
6.81 IPS |
|
|
Image Classification (F16)
|
100% |
60
6.43 IPS |
|
|
Image Classification (I8)
|
81% |
81
8.72 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
1.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
175
1.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
327
2.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
85
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
80
2.81 IPS |
|
|
Object Detection (F16)
|
100% |
97
3.42 IPS |
|
|
Object Detection (I8)
|
52% |
127
4.45 IPS |
|
|
Face Detection (F32)
|
100% |
163
1.87 IPS |
|
|
Face Detection (F16)
|
100% |
145
1.67 IPS |
|
|
Face Detection (I8)
|
75% |
200
2.29 IPS |
|
|
Text Classification (F32)
|
100% |
150
59.3 IPS |
|
|
Text Classification (F16)
|
100% |
154
60.9 IPS |
|
|
Machine Translation (F32)
|
100% |
124
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
116
17.8 IPS |
