samsung SM-A146P
Geekbench ML Score
118
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 04:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A146P |
| Model ID | samsung SM-A146P |
| Motherboard | a14xm |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
75
8.04 IPS |
|
|
Image Classification (F16)
|
100% |
77
8.29 IPS |
|
|
Image Classification (I8)
|
81% |
113
12.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
180
1.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
155
0.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
214
1.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
29
0.12 IPS |
|
|
Object Detection (F32)
|
100% |
109
3.83 IPS |
|
|
Object Detection (F16)
|
100% |
97
3.39 IPS |
|
|
Object Detection (I8)
|
52% |
138
4.84 IPS |
|
|
Face Detection (F32)
|
100% |
172
1.98 IPS |
|
|
Face Detection (F16)
|
100% |
146
1.67 IPS |
|
|
Face Detection (I8)
|
75% |
129
1.48 IPS |
|
|
Text Classification (F32)
|
100% |
235
93.0 IPS |
|
|
Text Classification (F16)
|
100% |
267
105.7 IPS |
|
|
Machine Translation (F32)
|
100% |
168
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
143
22.0 IPS |
