Samsung Galaxy A71
Geekbench ML Score
358
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 09 2024 05:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy A71 |
| Model ID | samsung SM-A715F |
| Motherboard | sm6150 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
161
30.1 IPS |
|
|
Image Classification (F16)
|
100% |
177
33.1 IPS |
|
|
Image Classification (I8)
|
97% |
385
72.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
260
4.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
255
4.26 IPS |
|
|
Image Segmentation (I8)
|
98% |
342
5.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
362
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
366
0.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
1819
2.20 IPS |
|
|
Object Detection (F32)
|
100% |
197
14.7 IPS |
|
|
Object Detection (F16)
|
100% |
208
15.5 IPS |
|
|
Object Detection (I8)
|
61% |
470
35.1 IPS |
|
|
Face Detection (F32)
|
100% |
389
4.62 IPS |
|
|
Face Detection (F16)
|
100% |
395
4.70 IPS |
|
|
Face Detection (I8)
|
86% |
847
10.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
381
2.96 IPS |
|
|
Depth Estimation (F16)
|
100% |
382
2.96 IPS |
|
|
Depth Estimation (I8)
|
95% |
924
7.17 IPS |
|
|
Style Transfer (F32)
|
100% |
572
0.75 IPS |
|
|
Style Transfer (F16)
|
100% |
530
0.70 IPS |
|
|
Style Transfer (I8)
|
98% |
1558
2.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
205
7.34 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
202
7.22 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
605
21.6 IPS |
|
|
Text Classification (F32)
|
100% |
197
282.8 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.2 IPS |
|
|
Text Classification (I8)
|
92% |
171
245.2 IPS |
|
|
Machine Translation (F32)
|
100% |
411
7.56 IPS |
|
|
Machine Translation (F16)
|
100% |
413
7.60 IPS |
|
|
Machine Translation (I8)
|
64% |
163
3.00 IPS |
