samsung SM-T725N
Geekbench ML Score
163
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2022 08:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-T725N |
| Model ID | samsung SM-T725N |
| Motherboard | sdm710 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
90
9.62 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.60 IPS |
|
|
Image Classification (I8)
|
81% |
218
23.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
217
1.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
227
1.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
461
2.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
102
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
141
4.95 IPS |
|
|
Object Detection (F16)
|
100% |
141
4.96 IPS |
|
|
Object Detection (I8)
|
52% |
218
7.65 IPS |
|
|
Face Detection (F32)
|
100% |
203
2.34 IPS |
|
|
Face Detection (F16)
|
100% |
216
2.49 IPS |
|
|
Face Detection (I8)
|
75% |
399
4.58 IPS |
|
|
Text Classification (F32)
|
100% |
139
54.8 IPS |
|
|
Text Classification (F16)
|
100% |
138
54.6 IPS |
|
|
Machine Translation (F32)
|
100% |
123
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
125
19.2 IPS |
