samsung SM-A166P
Geekbench ML Score
501
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2024 01:44 AM |
| 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 | 5.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
319
34.2 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.6 IPS |
|
|
Image Classification (I8)
|
80% |
549
58.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
646
3.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1236
7.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1225
7.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
239
0.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
572
2.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
563
2.28 IPS |
|
|
Object Detection (F32)
|
100% |
290
10.2 IPS |
|
|
Object Detection (F16)
|
100% |
471
16.5 IPS |
|
|
Object Detection (I8)
|
54% |
433
15.2 IPS |
|
|
Face Detection (F32)
|
100% |
681
7.83 IPS |
|
|
Face Detection (F16)
|
97% |
1230
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
1115
12.8 IPS |
|
|
Text Classification (F32)
|
100% |
339
133.9 IPS |
|
|
Text Classification (F16)
|
98% |
309
122.1 IPS |
|
|
Machine Translation (F32)
|
100% |
216
33.3 IPS |
|
|
Machine Translation (F16)
|
100% |
210
32.3 IPS |
