samsung SM-A725F
Geekbench ML Score
462
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2021 07:54 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-A725F |
| Model ID | samsung SM-A725F |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
316
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
566
60.7 IPS |
|
|
Image Classification (I8)
|
80% |
509
54.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
745
4.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
1395
8.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
1239
7.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
358
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
684
2.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
681
2.76 IPS |
|
|
Object Detection (F32)
|
100% |
189
6.65 IPS |
|
|
Object Detection (F16)
|
99% |
255
8.94 IPS |
|
|
Object Detection (I8)
|
53% |
251
8.80 IPS |
|
|
Face Detection (F32)
|
100% |
652
7.49 IPS |
|
|
Face Detection (F16)
|
97% |
1095
12.6 IPS |
|
|
Face Detection (I8)
|
76% |
934
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
240
94.9 IPS |
|
|
Text Classification (F16)
|
98% |
283
111.9 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
202
31.1 IPS |
