Samsung Galaxy Tab A7
Geekbench ML Score
162
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 07:03 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% |
111
11.9 IPS |
|
|
Image Classification (F16)
|
100% |
110
11.8 IPS |
|
|
Image Classification (I8)
|
81% |
312
33.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
197
1.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
194
1.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
503
3.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
93
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
143
5.03 IPS |
|
|
Object Detection (F16)
|
100% |
143
5.03 IPS |
|
|
Object Detection (I8)
|
52% |
243
8.51 IPS |
|
|
Face Detection (F32)
|
100% |
190
2.18 IPS |
|
|
Face Detection (F16)
|
100% |
190
2.19 IPS |
|
|
Face Detection (I8)
|
75% |
454
5.21 IPS |
|
|
Text Classification (F32)
|
100% |
117
46.1 IPS |
|
|
Text Classification (F16)
|
100% |
117
46.1 IPS |
|
|
Machine Translation (F32)
|
100% |
102
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
100
15.4 IPS |
