samsung SM-T307U
Geekbench ML Score
93
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 02:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-T307U |
| Model ID | samsung SM-T307U |
| Motherboard | exynos7904 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.59 GHz |
| Cluster 1 | 6 Cores @ 1.59 GHz |
| Cluster 2 | 2 Cores @ 1.77 GHz |
| Memory Information | |
|---|---|
| Size | 2.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
52
5.60 IPS |
|
|
Image Classification (F16)
|
100% |
52
5.54 IPS |
|
|
Image Classification (I8)
|
81% |
115
12.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
118
0.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
118
0.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
307
1.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
95
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
74
2.60 IPS |
|
|
Object Detection (F16)
|
100% |
75
2.62 IPS |
|
|
Object Detection (I8)
|
52% |
192
6.75 IPS |
|
|
Face Detection (F32)
|
100% |
106
1.21 IPS |
|
|
Face Detection (F16)
|
100% |
105
1.21 IPS |
|
|
Face Detection (I8)
|
75% |
217
2.49 IPS |
|
|
Text Classification (F32)
|
100% |
73
29.0 IPS |
|
|
Text Classification (F16)
|
100% |
74
29.2 IPS |
|
|
Machine Translation (F32)
|
100% |
71
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
73
11.3 IPS |
