samsung SM-A166P
Geekbench ML Score
452
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 10:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
311
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
521
55.8 IPS |
|
|
Image Classification (I8)
|
80% |
506
54.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
632
3.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
1224
7.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1227
7.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
490
1.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
506
2.05 IPS |
|
|
Object Detection (F32)
|
100% |
248
8.71 IPS |
|
|
Object Detection (F16)
|
100% |
387
13.6 IPS |
|
|
Object Detection (I8)
|
54% |
393
13.8 IPS |
|
|
Face Detection (F32)
|
100% |
623
7.16 IPS |
|
|
Face Detection (F16)
|
97% |
1267
14.6 IPS |
|
|
Face Detection (I8)
|
75% |
1184
13.6 IPS |
|
|
Text Classification (F32)
|
100% |
198
78.4 IPS |
|
|
Text Classification (F16)
|
98% |
281
111.1 IPS |
|
|
Machine Translation (F32)
|
100% |
175
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
178
27.4 IPS |
