Samsung Galaxy Tab S6
Geekbench ML Score
958
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2022 09:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Tab S6 |
| Model ID | samsung SM-T865 |
| 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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
735
78.7 IPS |
|
|
Image Classification (F16)
|
100% |
1330
142.5 IPS |
|
|
Image Classification (I8)
|
80% |
1176
126.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1800
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3192
19.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
2814
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
934
3.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
1653
6.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
1649
6.67 IPS |
|
|
Object Detection (F32)
|
100% |
325
11.4 IPS |
|
|
Object Detection (F16)
|
99% |
454
15.9 IPS |
|
|
Object Detection (I8)
|
53% |
445
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
1483
17.0 IPS |
|
|
Face Detection (F16)
|
97% |
2360
27.1 IPS |
|
|
Face Detection (I8)
|
76% |
2110
24.2 IPS |
|
|
Text Classification (F32)
|
100% |
444
175.6 IPS |
|
|
Text Classification (F16)
|
98% |
446
176.2 IPS |
|
|
Machine Translation (F32)
|
100% |
309
47.6 IPS |
|
|
Machine Translation (F16)
|
100% |
316
48.8 IPS |
