samsung SM-A146P
Geekbench ML Score
411
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 20 2025 11:30 PM |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
253
27.1 IPS |
|
|
Image Classification (F16)
|
100% |
496
53.2 IPS |
|
|
Image Classification (I8)
|
80% |
487
52.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
513
3.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
1144
7.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
1110
6.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
498
2.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
508
2.06 IPS |
|
|
Object Detection (F32)
|
100% |
186
6.53 IPS |
|
|
Object Detection (F16)
|
100% |
278
9.74 IPS |
|
|
Object Detection (I8)
|
54% |
275
9.64 IPS |
|
|
Face Detection (F32)
|
100% |
597
6.85 IPS |
|
|
Face Detection (F16)
|
97% |
1217
14.0 IPS |
|
|
Face Detection (I8)
|
75% |
1130
13.0 IPS |
|
|
Text Classification (F32)
|
100% |
320
126.7 IPS |
|
|
Text Classification (F16)
|
98% |
328
129.8 IPS |
|
|
Machine Translation (F32)
|
100% |
127
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
123
19.0 IPS |
