Samsung Galaxy Tab S7+
Geekbench ML Score
1411
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
984
105.4 IPS |
|
|
Image Classification (F16)
|
100% |
1611
172.6 IPS |
|
|
Image Classification (I8)
|
80% |
1385
148.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2555
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4538
28.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
4577
28.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1282
5.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
2228
9.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
2241
9.07 IPS |
|
|
Object Detection (F32)
|
100% |
774
27.2 IPS |
|
|
Object Detection (F16)
|
99% |
963
33.8 IPS |
|
|
Object Detection (I8)
|
53% |
930
32.6 IPS |
|
|
Face Detection (F32)
|
100% |
1839
21.1 IPS |
|
|
Face Detection (F16)
|
97% |
3263
37.5 IPS |
|
|
Face Detection (I8)
|
76% |
2794
32.1 IPS |
|
|
Text Classification (F32)
|
100% |
490
193.8 IPS |
|
|
Text Classification (F16)
|
98% |
516
204.3 IPS |
|
|
Machine Translation (F32)
|
100% |
565
87.0 IPS |
|
|
Machine Translation (F16)
|
100% |
562
86.7 IPS |
