Samsung Galaxy Tab S7
Geekbench AI Score
325
Single Precision Score
320
Half Precision Score
628
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 29 2025 04:18 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
100% |
447
83.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
539
8.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1108
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
83% |
485
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (Q)
|
95% |
907
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
546
4.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1056
9.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1182
1.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1166
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2520
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
645
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
177
235.7 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.6 IPS |
|
|
Text Classification (Q)
|
88% |
281
378.9 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
50% |
169
6.00 IPS |
