Samsung Galaxy Tab A7
Geekbench ML Score
147
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 07:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Tab A7 |
| Model ID | samsung SM-T500 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
84
8.97 IPS |
|
|
Image Classification (F16)
|
100% |
94
10.1 IPS |
|
|
Image Classification (I8)
|
81% |
149
15.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
191
1.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
1.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
462
2.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
91
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
136
4.79 IPS |
|
|
Object Detection (F16)
|
100% |
131
4.60 IPS |
|
|
Object Detection (I8)
|
52% |
222
7.81 IPS |
|
|
Face Detection (F32)
|
100% |
176
2.03 IPS |
|
|
Face Detection (F16)
|
100% |
182
2.09 IPS |
|
|
Face Detection (I8)
|
75% |
417
4.79 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.8 IPS |
|
|
Text Classification (F16)
|
100% |
112
44.4 IPS |
|
|
Machine Translation (F32)
|
100% |
100
15.4 IPS |
|
|
Machine Translation (F16)
|
100% |
99
15.3 IPS |
