Samsung Galaxy Tab S7+
Geekbench ML Score
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TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:15 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 | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
669
71.7 IPS |
|
|
Image Classification (F16)
|
100% |
1068
114.4 IPS |
|
|
Image Classification (I8)
|
80% |
1358
145.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1031
6.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
1262
7.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
3229
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
456
1.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
1680
6.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
5464
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
619
21.7 IPS |
|
|
Object Detection (F16)
|
100% |
791
27.8 IPS |
|
|
Object Detection (I8)
|
52% |
1109
38.9 IPS |
|
|
Face Detection (F32)
|
100% |
1033
11.9 IPS |
|
|
Face Detection (F16)
|
97% |
1236
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
4067
46.7 IPS |
|
|
Text Classification (F32)
|
54% |
13
5.12 IPS |
|
|
Text Classification (F16)
|
54% |
12
4.66 IPS |
|
|
Machine Translation (F32)
|
100% |
576
88.7 IPS |
|
|
Machine Translation (F16)
|
100% |
569
87.6 IPS |
