Samsung Galaxy Tab S6
Geekbench ML Score
343
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2022 05:50 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Samsung Galaxy Tab S6 |
| Model ID | samsung SM-T860 |
| Motherboard | msmnile |
| 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 | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
308
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
246
26.4 IPS |
|
|
Image Classification (I8)
|
81% |
173
18.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
488
3.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
491
3.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
783
4.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
219
0.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
207
0.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
201
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
353
12.4 IPS |
|
|
Object Detection (F16)
|
100% |
354
12.4 IPS |
|
|
Object Detection (I8)
|
52% |
272
9.56 IPS |
|
|
Face Detection (F32)
|
100% |
538
6.18 IPS |
|
|
Face Detection (F16)
|
100% |
521
5.99 IPS |
|
|
Face Detection (I8)
|
75% |
479
5.51 IPS |
|
|
Text Classification (F32)
|
100% |
290
114.7 IPS |
|
|
Text Classification (F16)
|
100% |
288
113.7 IPS |
|
|
Machine Translation (F32)
|
100% |
427
65.8 IPS |
|
|
Machine Translation (F16)
|
100% |
427
65.9 IPS |
