samsung SM-A146P
Geekbench ML Score
107
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 20 2025 09:36 AM |
| Views | 2 |
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% |
76
8.15 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.98 IPS |
|
|
Image Classification (I8)
|
81% |
88
9.46 IPS |
|
|
Image Segmentation (F32)
|
100% |
168
1.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
163
1.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
170
1.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
50
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
48
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
28
0.11 IPS |
|
|
Object Detection (F32)
|
100% |
99
3.47 IPS |
|
|
Object Detection (F16)
|
100% |
99
3.48 IPS |
|
|
Object Detection (I8)
|
52% |
122
4.27 IPS |
|
|
Face Detection (F32)
|
100% |
150
1.73 IPS |
|
|
Face Detection (F16)
|
100% |
149
1.72 IPS |
|
|
Face Detection (I8)
|
75% |
119
1.36 IPS |
|
|
Text Classification (F32)
|
100% |
195
77.1 IPS |
|
|
Text Classification (F16)
|
100% |
234
92.5 IPS |
|
|
Machine Translation (F32)
|
100% |
143
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
122
18.8 IPS |
