samsung SM-A146P
Geekbench ML Score
262
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 07 2025 02:57 AM |
| Views | 3 |
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% |
356
38.2 IPS |
|
|
Image Classification (F16)
|
100% |
462
49.5 IPS |
|
|
Image Classification (I8)
|
80% |
135
14.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
270
1.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
249
1.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
465
2.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
707
2.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
257
9.02 IPS |
|
|
Object Detection (F16)
|
100% |
296
10.4 IPS |
|
|
Object Detection (I8)
|
53% |
127
4.47 IPS |
|
|
Face Detection (F32)
|
100% |
617
7.09 IPS |
|
|
Face Detection (F16)
|
97% |
709
8.14 IPS |
|
|
Face Detection (I8)
|
75% |
259
2.98 IPS |
|
|
Text Classification (F32)
|
100% |
132
52.0 IPS |
|
|
Text Classification (F16)
|
100% |
99
39.3 IPS |
|
|
Machine Translation (F32)
|
100% |
123
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
127
19.6 IPS |
