samsung SM-A166P
Geekbench ML Score
474
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2024 01:30 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
312
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
549
58.8 IPS |
|
|
Image Classification (I8)
|
80% |
520
55.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
650
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
1240
7.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
1228
7.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
535
2.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
515
2.09 IPS |
|
|
Object Detection (F32)
|
100% |
280
9.82 IPS |
|
|
Object Detection (F16)
|
100% |
413
14.5 IPS |
|
|
Object Detection (I8)
|
54% |
436
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
642
7.38 IPS |
|
|
Face Detection (F16)
|
97% |
1176
13.5 IPS |
|
|
Face Detection (I8)
|
75% |
1066
12.3 IPS |
|
|
Text Classification (F32)
|
100% |
225
88.8 IPS |
|
|
Text Classification (F16)
|
98% |
334
131.9 IPS |
|
|
Machine Translation (F32)
|
100% |
196
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
194
30.0 IPS |
