Samsung Galaxy Tab S7+
Geekbench ML Score
376
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 13 2021 01:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy Tab S7+ |
| Model ID | samsung SM-T970 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
365
39.1 IPS |
|
|
Image Classification (F16)
|
100% |
248
26.6 IPS |
|
|
Image Classification (I8)
|
81% |
204
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
554
3.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
572
3.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
804
4.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
232
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
322
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
315
11.1 IPS |
|
|
Object Detection (I8)
|
52% |
263
9.23 IPS |
|
|
Face Detection (F32)
|
100% |
550
6.32 IPS |
|
|
Face Detection (F16)
|
100% |
535
6.15 IPS |
|
|
Face Detection (I8)
|
75% |
414
4.75 IPS |
|
|
Text Classification (F32)
|
100% |
358
141.5 IPS |
|
|
Text Classification (F16)
|
100% |
358
141.5 IPS |
|
|
Machine Translation (F32)
|
100% |
576
88.7 IPS |
|
|
Machine Translation (F16)
|
100% |
574
88.5 IPS |
