samsung SM-A166P
Geekbench ML Score
477
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 02:22 PM |
| Views | 6 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
315
33.8 IPS |
|
|
Image Classification (F16)
|
100% |
565
60.5 IPS |
|
|
Image Classification (I8)
|
80% |
528
56.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
644
3.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
1203
7.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1216
7.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
228
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
553
2.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
565
2.29 IPS |
|
|
Object Detection (F32)
|
100% |
299
10.5 IPS |
|
|
Object Detection (F16)
|
100% |
463
16.2 IPS |
|
|
Object Detection (I8)
|
54% |
457
16.0 IPS |
|
|
Face Detection (F32)
|
100% |
648
7.44 IPS |
|
|
Face Detection (F16)
|
97% |
1221
14.0 IPS |
|
|
Face Detection (I8)
|
75% |
1090
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
216
85.3 IPS |
|
|
Text Classification (F16)
|
98% |
324
128.0 IPS |
|
|
Machine Translation (F32)
|
100% |
183
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
183
28.3 IPS |
