Samsung Galaxy Tab S7+
Geekbench AI Score
56
Single Precision Score
57
Half Precision Score
138
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daviangel |
| Upload Date | November 02 2025 04:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
32
5.94 IPS |
|
|
Image Classification (HP)
|
100% |
33
6.08 IPS |
|
|
Image Classification (Q)
|
99% |
90
16.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
63
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
63
0.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
246
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
33
2.59 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.58 IPS |
|
|
Object Detection (Q)
|
87% |
102
8.18 IPS |
|
|
Face Detection (SP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (HP)
|
100% |
75
0.89 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
74
0.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
76
0.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
175
1.59 IPS |
|
|
Style Transfer (SP)
|
100% |
132
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
133
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
355
0.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40
1.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
151
5.58 IPS |
|
|
Text Classification (SP)
|
100% |
56
74.4 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.1 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.8 IPS |
|
|
Machine Translation (SP)
|
100% |
81
1.40 IPS |
|
|
Machine Translation (HP)
|
100% |
82
1.40 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.81 IPS |
