Samsung Galaxy Tab S7+
Geekbench AI Score
225
Single Precision Score
182
Half Precision Score
777
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daviangel |
| Upload Date | November 02 2025 03:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (Q)
|
97% |
626
116.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
570
9.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1572
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5727
6.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
11100
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.71 IPS |
|
|
Object Detection (Q)
|
85% |
1151
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
75
0.89 IPS |
|
|
Face Detection (Q)
|
97% |
3060
36.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
172
1.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
78
0.60 IPS |
|
|
Depth Estimation (Q)
|
22% |
221
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
220
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
141
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
962
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1897
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4811
178.3 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.31 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.3 IPS |
|
|
Text Classification (Q)
|
93% |
87
116.5 IPS |
|
|
Machine Translation (SP)
|
100% |
72
1.25 IPS |
|
|
Machine Translation (HP)
|
100% |
89
1.53 IPS |
|
|
Machine Translation (Q)
|
54% |
65
1.83 IPS |
