Samsung Galaxy Tab S7+
Geekbench AI Score
290
Single Precision Score
416
Half Precision Score
442
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daviangel |
| Upload Date | November 02 2025 02:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.8 IPS |
|
|
Image Classification (Q)
|
97% |
415
77.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
212
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
1095
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
89% |
205
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1151
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1213
9.37 IPS |
|
|
Depth Estimation (Q)
|
62% |
987
9.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1259
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3095
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3107
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
591
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
52
68.9 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.2 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.8 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (HP)
|
100% |
81
1.40 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.78 IPS |
