samsung SM-A166P
Geekbench ML Score
406
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 12:41 AM |
| Views | 3 |
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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
248
26.5 IPS |
|
|
Image Classification (F16)
|
100% |
448
48.0 IPS |
|
|
Image Classification (I8)
|
80% |
433
46.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
932
5.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
927
5.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
187
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
412
1.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
403
1.63 IPS |
|
|
Object Detection (F32)
|
100% |
232
8.13 IPS |
|
|
Object Detection (F16)
|
100% |
380
13.3 IPS |
|
|
Object Detection (I8)
|
54% |
380
13.3 IPS |
|
|
Face Detection (F32)
|
100% |
597
6.85 IPS |
|
|
Face Detection (F16)
|
97% |
1106
12.7 IPS |
|
|
Face Detection (I8)
|
75% |
999
11.5 IPS |
|
|
Text Classification (F32)
|
100% |
206
81.4 IPS |
|
|
Text Classification (F16)
|
98% |
295
116.7 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
212
32.7 IPS |
