samsung SM-A166P
Geekbench ML Score
485
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2024 09:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
312
33.5 IPS |
|
|
Image Classification (F16)
|
100% |
574
61.5 IPS |
|
|
Image Classification (I8)
|
80% |
537
57.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
632
3.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
1198
7.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
1183
7.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
235
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
554
2.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
549
2.22 IPS |
|
|
Object Detection (F32)
|
100% |
288
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
451
15.8 IPS |
|
|
Object Detection (I8)
|
54% |
463
16.3 IPS |
|
|
Face Detection (F32)
|
100% |
662
7.60 IPS |
|
|
Face Detection (F16)
|
97% |
1255
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
1118
12.8 IPS |
|
|
Text Classification (F32)
|
100% |
227
90.0 IPS |
|
|
Text Classification (F16)
|
98% |
332
131.2 IPS |
|
|
Machine Translation (F32)
|
100% |
198
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
209
32.2 IPS |
