samsung SM-A166P
Geekbench ML Score
178
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2024 09:29 PM |
| Views | 4 |
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 | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
92
9.88 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.67 IPS |
|
|
Image Classification (I8)
|
81% |
132
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
334
2.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
331
2.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
481
2.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
98
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
109
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
135
4.75 IPS |
|
|
Object Detection (F16)
|
100% |
132
4.64 IPS |
|
|
Object Detection (I8)
|
52% |
200
7.02 IPS |
|
|
Face Detection (F32)
|
100% |
241
2.77 IPS |
|
|
Face Detection (F16)
|
100% |
222
2.55 IPS |
|
|
Face Detection (I8)
|
75% |
267
3.07 IPS |
|
|
Text Classification (F32)
|
100% |
259
102.5 IPS |
|
|
Text Classification (F16)
|
100% |
249
98.5 IPS |
|
|
Machine Translation (F32)
|
100% |
192
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
195
30.0 IPS |
