Samsung Galaxy A71
Geekbench ML Score
356
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 06:05 AM |
| Views | 2 |
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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
193
36.1 IPS |
|
|
Image Classification (I8)
|
97% |
318
59.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
257
4.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
262
4.38 IPS |
|
|
Image Segmentation (I8)
|
98% |
261
4.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
367
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
367
0.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
1710
2.07 IPS |
|
|
Object Detection (F32)
|
100% |
203
15.2 IPS |
|
|
Object Detection (F16)
|
100% |
206
15.4 IPS |
|
|
Object Detection (I8)
|
61% |
480
35.8 IPS |
|
|
Face Detection (F32)
|
100% |
414
4.93 IPS |
|
|
Face Detection (F16)
|
100% |
415
4.94 IPS |
|
|
Face Detection (I8)
|
86% |
751
8.93 IPS |
|
|
Depth Estimation (F32)
|
100% |
391
3.03 IPS |
|
|
Depth Estimation (F16)
|
100% |
388
3.01 IPS |
|
|
Depth Estimation (I8)
|
95% |
820
6.36 IPS |
|
|
Style Transfer (F32)
|
100% |
589
0.77 IPS |
|
|
Style Transfer (F16)
|
100% |
588
0.77 IPS |
|
|
Style Transfer (I8)
|
98% |
1472
1.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
205
7.31 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
211
7.54 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
544
19.4 IPS |
|
|
Text Classification (F32)
|
100% |
210
301.2 IPS |
|
|
Text Classification (F16)
|
100% |
204
293.4 IPS |
|
|
Text Classification (I8)
|
92% |
171
245.7 IPS |
|
|
Machine Translation (F32)
|
100% |
453
8.34 IPS |
|
|
Machine Translation (F16)
|
100% |
461
8.48 IPS |
|
|
Machine Translation (I8)
|
64% |
143
2.62 IPS |
