Samsung Galaxy Tab S7
Geekbench AI Score
380
Single Precision Score
699
Half Precision Score
713
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | UsayedShahid |
| Upload Date | March 25 2026 03:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Tab S7 |
| Model ID | samsung SM-T870 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
479
89.0 IPS |
|
|
Image Classification (HP)
|
100% |
904
168.2 IPS |
|
|
Image Classification (Q)
|
99% |
1353
252.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
493
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
583
0.68 IPS |
|
|
Pose Estimation (HP)
|
92% |
1318
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1221
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
97% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
85% |
418
33.7 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (Q)
|
97% |
866
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
1058
8.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
1041
9.61 IPS |
|
|
Style Transfer (SP)
|
89% |
1117
1.45 IPS |
|
|
Style Transfer (HP)
|
88% |
1515
1.97 IPS |
|
|
Style Transfer (Q)
|
98% |
2546
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
587
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
643
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.3 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.4 IPS |
|
|
Text Classification (Q)
|
93% |
285
382.1 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
96% |
368
6.37 IPS |
|
|
Machine Translation (Q)
|
55% |
240
6.43 IPS |
