samsung SM-A166P
Geekbench ML Score
179
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2024 06:50 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
85
9.11 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.62 IPS |
|
|
Image Classification (I8)
|
81% |
131
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
304
1.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
323
1.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
554
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
125
4.38 IPS |
|
|
Object Detection (F16)
|
100% |
124
4.33 IPS |
|
|
Object Detection (I8)
|
52% |
163
5.73 IPS |
|
|
Face Detection (F32)
|
100% |
218
2.51 IPS |
|
|
Face Detection (F16)
|
100% |
288
3.30 IPS |
|
|
Face Detection (I8)
|
75% |
318
3.65 IPS |
|
|
Text Classification (F32)
|
100% |
185
73.1 IPS |
|
|
Text Classification (F16)
|
100% |
196
77.6 IPS |
|
|
Machine Translation (F32)
|
100% |
206
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
205
31.6 IPS |
