samsung SM-A166P
Geekbench ML Score
445
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 10:55 AM |
| Views | 6 |
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% |
301
32.2 IPS |
|
|
Image Classification (F16)
|
100% |
513
55.0 IPS |
|
|
Image Classification (I8)
|
80% |
487
52.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
3.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
1147
7.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
1154
7.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
226
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
552
2.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
537
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
260
9.14 IPS |
|
|
Object Detection (F16)
|
100% |
396
13.9 IPS |
|
|
Object Detection (I8)
|
54% |
384
13.5 IPS |
|
|
Face Detection (F32)
|
100% |
626
7.19 IPS |
|
|
Face Detection (F16)
|
97% |
1113
12.8 IPS |
|
|
Face Detection (I8)
|
75% |
1040
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
192
75.9 IPS |
|
|
Text Classification (F16)
|
98% |
281
111.2 IPS |
|
|
Machine Translation (F32)
|
100% |
190
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
178
27.5 IPS |
