samsung SM-A166P
Geekbench ML Score
390
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 07 2025 05:19 PM |
| Views | 1 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
201
21.5 IPS |
|
|
Image Classification (F16)
|
100% |
583
62.5 IPS |
|
|
Image Classification (I8)
|
80% |
531
56.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
380
2.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
528
3.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1372
8.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
575
2.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
336
1.36 IPS |
|
|
Object Detection (F32)
|
100% |
306
10.7 IPS |
|
|
Object Detection (F16)
|
99% |
520
18.3 IPS |
|
|
Object Detection (I8)
|
53% |
375
13.2 IPS |
|
|
Face Detection (F32)
|
25% |
537
6.16 IPS |
|
|
Face Detection (F16)
|
25% |
758
8.70 IPS |
|
|
Face Detection (I8)
|
75% |
768
8.83 IPS |
|
|
Text Classification (F32)
|
100% |
177
69.8 IPS |
|
|
Text Classification (F16)
|
100% |
176
69.4 IPS |
|
|
Machine Translation (F32)
|
100% |
185
28.5 IPS |
|
|
Machine Translation (F16)
|
100% |
195
30.1 IPS |
