samsung SM-A166P
Geekbench ML Score
199
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 12 2025 12:58 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
93
10.0 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.68 IPS |
|
|
Image Classification (I8)
|
81% |
126
13.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
350
2.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
328
2.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
499
3.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
123
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
150
5.26 IPS |
|
|
Object Detection (F16)
|
100% |
154
5.40 IPS |
|
|
Object Detection (I8)
|
52% |
208
7.29 IPS |
|
|
Face Detection (F32)
|
100% |
288
3.31 IPS |
|
|
Face Detection (F16)
|
100% |
302
3.47 IPS |
|
|
Face Detection (I8)
|
75% |
309
3.54 IPS |
|
|
Text Classification (F32)
|
100% |
264
104.3 IPS |
|
|
Text Classification (F16)
|
100% |
257
101.6 IPS |
|
|
Machine Translation (F32)
|
100% |
209
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
207
31.8 IPS |
