Samsung Galaxy Tab S7+
Geekbench AI Score
360
Single Precision Score
511
Half Precision Score
1205
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daviangel |
| Upload Date | March 08 2025 09:54 AM |
| Views | 7 |
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% |
432
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.6 IPS |
|
|
Image Classification (Q)
|
97% |
1054
196.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
986
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1588
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5876
6.86 IPS |
|
|
Pose Estimation (Q)
|
97% |
11341
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
85% |
1534
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
97% |
3518
42.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
308
2.37 IPS |
|
|
Depth Estimation (Q)
|
22% |
245
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
759
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
501
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3775
4.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
773
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5168
191.5 IPS |
|
|
Text Classification (SP)
|
71% |
4
6.10 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.5 IPS |
|
|
Text Classification (Q)
|
93% |
97
130.7 IPS |
|
|
Machine Translation (SP)
|
100% |
163
2.81 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
54% |
220
6.21 IPS |
