Samsung Galaxy Tab S7+
Geekbench ML Score
416
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:18 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 | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
388
41.6 IPS |
|
|
Image Classification (F16)
|
100% |
273
29.2 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
588
3.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
617
3.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
903
5.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
230
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
215
0.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
247
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
431
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
442
15.5 IPS |
|
|
Object Detection (I8)
|
52% |
346
12.1 IPS |
|
|
Face Detection (F32)
|
100% |
541
6.21 IPS |
|
|
Face Detection (F16)
|
100% |
625
7.18 IPS |
|
|
Face Detection (I8)
|
75% |
580
6.66 IPS |
|
|
Text Classification (F32)
|
100% |
403
159.5 IPS |
|
|
Text Classification (F16)
|
100% |
410
162.2 IPS |
|
|
Machine Translation (F32)
|
100% |
577
89.0 IPS |
|
|
Machine Translation (F16)
|
100% |
582
89.7 IPS |
